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We are using gaussian G-16 to calculate molecular properties. When I specigy in the rout line def2qzvpp ( #P B3LYP/def2qzvpp opt output=pickett) with RU (Ruthenium atom in the atom list) -- Does the Gaussian do an ALL ELECTRON calculation -OR- use a core potential (ECP) for the Ru atom?
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For gaussian, when I want to use mixed basis sets or basis sets that are not implemented in the code I usually use the GENECP keyword (https://gaussian.com/gen/) and I specify the basis sets after the coordinates inthe input file. You can find the syntax in the example part of the website.
You can get the basis sets not implemented using the BSE (basis set exchange) https://www.basissetexchange.org/. Just select the atoms to include, the basis set and choose the format as "gaussian" in the box bellow the periodic table. You may then be able to click "get basis set" and copy the correct data to paste in the input file. I'll attach prints for reference.
Also, I'm attaching a simple water input where I imported the aug-cc-pV(T+d)Z for H and O from the BSE website, so you can check the correct syntax.
Hope it helps for you to figure out an option to deal with this.
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Hello,
I hope this message finds you well. I have just started to learn gaussian software. While running NLO calculations I used the keyword:
#p b3lyp/6-31g(d,p) geom=connectivity gfinput polar=(DCSHG, Cubic) CPHF=RdFreq 
Later I came to know the common keyword used for NLO is:
# b3lyp 6-31G(d,p) Polar=(DCSHG,Cubic) CPHF=RdFreq.
Which is the most apt set of keyowrds. And what is the difference between # and #p.
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Since Sunwoo Kang already explained the difference between # and #P, I'll remember that you can check the keywords and how they work using the documentation in gaussian's web page. https://gaussian.com/route/ for example.
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#rhf/3-21g pop=nboread RHF/3-21G for formamide (H2NCHO) 0 1   H  -1.908544      0.420906     0.000111   H  -1.188060     -1.161135     0.000063   N  -1.084526     -0.157315     0.000032   C    0.163001      0.386691    -0.000154   O   1.196265      -0.246372     0.000051   H    0.140159      1.492269     0.000126 $nbo nrt $end
I tried this example, but using gaussian the section with resonance weight is missing
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Gaussian 16 and previous versions ship with NBO 3.1, which does not feature natural resonance theory (NRT) calculations. You may want to purchase a later version of the NBO suite in order to carry out NRT calculations.
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I am optimizing a molecule in solvents where I am getting the following error:
"Inv3 failed in PCMMkU"
I have searched for the error and got some solutions like using "surface=sas" and "surface=ses", however, none of these solved the problem.
Can anyone suggest any other alternative solution?
Thanks in advance.
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I plan to tackle this question by: a) Optimizing the geometry without PCM initially, then reverting to your original settings, and b) Slightly perturbing the geometry and returning to the initial setup if any configuration issues arise.
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When I specify the number of processors = 4, my calculation works fine. But when I want to specify the number of processors more than four, the program gives: "Will use up to 8 processors via shared memory." and that's all. The calculation does not work. What should I do?
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Hello dear Sara Dzhabieva
Make sure that your computer or computational cluster has enough available resources to accommodate the requested number of processors. This includes checking the total number of available CPU cores, memory (RAM), and any other system requirements for running Gaussian calculations. Ensure that your Gaussian license permits the use of more than four processors. Some Gaussian licenses may have limitations on the maximum number of processors that can be used simultaneously.
Another suggestion is the MolQube.com specialized team, whose activity is specialized in the field of computational chemistry. Give them an email: [email protected]
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After installing gaussian 16 in windows version, i tried to run a molecule in it but it failed having empty output file. please suggest possible solutions.
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I got the same issue too! Anyone knows what's the problem? My input file is as follows:
%chk=C:\G16W\Testing_file\Foraldehyde energy.chk
# apfd/6-311+g(2d,p) geom=connectivity
Formaldehyde energy
0 1
C 0.00000000 0.00000000 -0.56301626
H 0.00000000 -0.92697196 -1.09694672
H -0.00000000 0.92697196 -1.09694672
O 0.00000000 -0.00000000 0.69656515
1 2 1.0 3 1.0 4 2.0
2
3
4
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Hi, I am new to gaussian and was wondering how to use KMLYP and BHHLYP in the gaussian input file
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The KMLYP functional is not known to me, the BHHLYP seems to be called BHandHLYP in the Gaussian. You can find all the details about DFT functionals implemented within the Gaussian there https://gaussian.com/dft/
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Hi all,
I seen CBM and VBM plots in articles plotted using VASP, i pasted a part of the sample picture.
I used to do with Gaussian, but can any one explain How exactly these could be plotted using VASP output?
Thank you.
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To get the VBM CBM charge debsities you have to perform a PARCHG (https://www.vasp.at/wiki/index.php/PARCHG) calculation in VASP. I suggest you follow the follwing link from the ofitial VASP wiki:
where it is explained how to do those tipes of calculations.
What has worked well for me is first, do a single point calculation to see which band numbers (indices) correspond to those of the VB and CB (for exemple the 21th and 22d band). Then do another calculation with the INCAR containing:
LPARD = .TRUE. ! Toggles PARCHG calculation and processing
LSEPB = .TRUE. ! Write PARCHG for selected bands to individual files
LSEPK = .TRUE. ! Write PARCHG for selected k points to individual files
IBAND = 20 21 ! Indices of the specified bands mentioned earlier (VB CB)
And the KPOINTS file being a line from the VBM k-point to the CBM k-point (for example from (0,0,0) to (0.5, 0.5, 0)).
The calculation will return several PARCHG.IBAND.KPOINT files, and the ones you are looking for are the one containing the IBAND and KPOINT number of the VBM and CBM correspondingly. So, in my example would be PARCHG.0020.0001 (Corresponding to the VBM at (0,0,0)) and PARCHG.0021.0002 (Corresponding to the VBM at (0.5,0.5,0), the second kpoint of the line)
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Hi,
I have two rotamers from crystal structure data. I like to use the QST2 transition state search in Gaussian to investigate their interconversion barrier. Since they come from crystal structure data, the atom numbering/ordering of the two optimized rotamers is different. With around 100 atoms, I would really prefer not to try and renumber them by hand. Is there any automatic structure match and renumber routine out there, which would produce the two geometries with matching numbering?
Alternatively, if I have to go via the "traditional" TS search: is there any program which would allow to match/align two structures and to calculate an "averaged" structure from this? But I assume those would also require matching numbering...
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In addition to a great answer from Lucas Gian Fachini, I suggest you try out the "connection editor" of GaussView.
You open the structures of your rotamers in a single window and use the connection editor to match the numbers automatically or manually (sometimes! It is unavoidable. In my case, methyl groups). There, you will find multiple options to renumber; this can also help you get a good starting z-matrix (optimization in internal coordinates is generally better than in cartesian coordinates).
A quick way to get a TS guess is to interpolate between two structures; I use interpolation in internal coordinate or geodesic interpolation code (https://github.com/virtualzx-nad/geodesic-interpolate/tree/master). The latter code implements the method described in the paper " Geodesic interpolation for reaction pathways." You may need to write a custom code to extract information from the output.
I hope this helps.
Regards,
Dilawar
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Recently, I received a comment to report endogeneity for the structural model. Generally, endogeneity using Gaussian copula has single and combination tests. If I report a combination test (for example, double or triple tests for a big model), the table will be large. In this case, can I report only a single test?
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@Christian M. Ringle
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in optimization process its showing for carbohydrates computational studies.
How to Solve Inaccurate quadrature in CalDSu. errors in Gaussian?
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You see this error ? "Inaccurate quadrature in CalDSu"
The integral not enough, under DFT calculations with some basis sets.
for solve this problem:
Check the input file, whether there was some miss in basis set or unreasonable structure. If not, use one of following keywords:
int=ultrafine (default in Gaussian 16), or int=grid=300590.
SCF=novaracc.
guess=INDO.
If not work, use (1)~(3) at same time.
Note, this error is usually seen in heavy calculations. You can email this team to provide infrastructure, they specialize in preparing inputs, fixing errors, and performing calculations and data analysis in computational chemistry. [email protected]
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Log(output) file preview is as below:
Search did not lower the energy significantly.
No lower point found -- run aborted.
Error termination via Lnk1e in /opt/g16/l508.exe
Job cpu time: 0 days 14 hours 4 minutes 28.9 seconds.
Elapsed time: 0 days 2 hours 54 minutes 57.4 seconds.
File lengths (MBytes): RWF= 138 Int= 0 D2E= 0 Chk= 8 Scr= 1
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This error occurs when SCF not converged when QC method was used.
To solve this problem, this action is necessary: Delete keywords like SCF=QC, SCF=XQC, SCF=YQC and submit to calculation again.
Note that calculations may be time-consuming and require powerful systems. I recommend the services of MolQube.com. They provide you with as many cores and RAM as you need. You do not get involved in software installation. They help you in creating input and extracting data. You can contact them by email: [email protected]
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If anyone know help me please.
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Hi Protsan
At the end of the input (in the text file), press enter twice and write the name of the file (for example: input.wfn). Enter the keyword output=wfn in the command line.
Note, the volume of generated files is sometimes large and requires powerful systems. I use MolQube.com servers. They prepare the input according to your opinion, run the calculations and extract the data you need. You can contact them by email. email:
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Binding energy, spin polarization and gibbs free energy How i find in gaussian.because i not see these properties in frequency out put file
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Binding energy is a pretty broad term and I believe spin polarization requires a special DFT method. Free energy and other thermal corrections should be present in a normally terminated frequency output.
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I want to do NBO analysis for a molecule in the excited state [the first singlet state]. I used the following command line,
#P td rb3lyp/ 6-311g Cis=(read, root= 1) pop=nboread
but the job crash with the following error
No CIS info on Chk file
How can I solve the error??
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I disagree, the basis set you just mentioned is unbalanced and will yield unreliable results. Including diffuse functions without polarization ones will heavily underestimate short-range interactions (i.e. chemical bonds) in favor of long-range effects, which is meaningless. At a bare minimum use 6-311+G(d) if you want to use a triple-zeta basis set with diffuse functions.
Now, td=(nstates=1,root=1) can be used for excited-state geometry optimizations, vibrational frequencies, population analyses… but not to obtain a wave function. output=wfn (or wfx) will still refer to the ground state.
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spin polarization (Hartree) (SP), molecular mass amount (MMA), enthalpy change kcal/mol (E nthal py C), Gibbs free energy change kcal/ mol (GFEC), binding energy kcal/mol (BE), entropy change kcal/mol.K ( E ntropy C), zero vibrational energy kcal/ mol (ZVE), octanol-water partition coefficients (XLogP3), covalently bonded unit count (CBUC), dipole moment (debye) (DM), and heavy atom count (HAC). I find these properties using dmol3 or gaussian software i do many try but i not get these properties.please tell me setting or basis set to help to me achieve these properties
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Thanks sir
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or how can i draw it
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Hey there الاء علي! So, getting the structure of B36N36 and graphene Gaussian files is pretty straightforward. If you're looking to visualize them, you الاء علي have a couple of options.
For the structure of B36N36 and graphene Gaussian files, you'll first need to run Gaussian calculations on these molecules to generate the necessary output files. Once you الاء علي have the output files (typically with a .log extension), you الاء علي can extract the molecular structure information from them.
One way to do this is by using visualization software like Avogadro or VMD. These tools allow you الاء علي to open Gaussian output files and visualize the molecular structures in 3D.
Alternatively, if you're comfortable with scripting, you الاء علي can use Python with libraries like NumPy and Matplotlib to parse the Gaussian output files and plot the molecular structures yourself. This gives you الاء علي more flexibility and control over the visualization process.
So, depending on your preference and familiarity with software tools, you الاء علي can choose the method that suits you الاء علي best. If you الاء علي need more detailed instructions on any of these steps, feel free to ask!
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I am working on the design of an image encryption algorithm. The algorithm has a sound score of entropy, low correlation, resistance to anti-cropping attacks, and resistance to salt and pepper noise. The only issue with the algorithm is its resistance to counter gaussian noise.
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IYH Dear Rashad Ali
Generally, no. Double Random Phase Encoding is generally considered an irreversible image encryption technique due to its underlying mathematical nature. Why? The main reason behind this lies in the convolution process applied during encoding, which blends the original img with a pseudorandom reference function generated via two separate random phases. Upon decryption, the inverse operation requires precise knowledge of both random phases employed initially—otherwise, perfect recovery of the original image becomes impossible.
Certain variations of the DRPE algo are explored for potentially reversible scenarios. Extensions incorporate auxiliary channels or side info alongside the encrypted imgs themselves, enabling partial restoration even when facing missing or corrupted phase terms.
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Hello,
I am a grad student working on a project on the photisomerization of 2'-hydroxychalcone. I was instructed to create a PES surface for the triplet state. My first attempt did not produce accurate results by using the method of:
%chk=r66a20.chk
# opt=modredundant ub3lyp/6-311g(d,p) nosymm empiricaldispersion=gd3
H atom moved by 0.66 ratio and 200 degrees torsional rotation
0 3
C 4.40955200 -1.07991300 -0.54555900
C 3.26596800 -1.74755000 -0.09909700
C 2.01417800 -1.42748400 -0.63366800
C 1.89642800 -0.41766900 -1.60620700
C 3.05378000 0.22560800 -2.07096300
C 4.30412000 -0.09762500 -1.53408500
C 0.59255400 -0.09649200 -2.22324900
C -0.55116400 0.12512000 -1.55522300
C -0.64735300 0.50053500 -0.12258300
O 0.34423300 1.01373800 0.46366800
C -1.90915400 0.31643500 0.63358200
C -3.15247100 0.58942200 0.03132200
C -4.33985300 0.42672200 0.74976200
C -4.30311100 -0.00451700 2.07603100
C -3.07829900 -0.27235000 2.68958800
C -1.87966600 -0.11514800 1.97776200
O -0.66382100 -0.40167900 2.59940300
H 5.37814800 -1.33016300 -0.13247600
H 3.35032800 -2.51880500 0.65556100
H 1.14048600 -1.97116500 -0.29583500
H 2.98682100 0.98376600 -2.84181500
H 5.19191700 0.41070500 -1.88749300
H 0.55957000 -0.05444000 -3.30552000
H -1.46703200 0.04969000 -2.12553300
H -3.21091500 0.95579300 -0.98478200
H -5.29020100 0.64320200 0.27899600
H -5.22451200 -0.12796000 2.63040400
H -3.06071800 -0.60621700 3.71928400
H -0.26302800 0.16107800 1.75025600
B 10 29 F
B 17 29 F
D 9 8 7 4 F
and then I used TD-DFT:
%chk=TD_r66a20.chk
#p td=50-50 b3lyp/6-311g(d,p) guess=read geom=modredundant
empiricaldispersion=gd3
0 1
C 4.57698700 -1.53187000 -1.36424900
C 3.75481000 -1.51008200 -0.23758000
C 2.55798100 -0.80468800 -0.24377800
C 2.14632500 -0.10708600 -1.39547000
C 2.99699900 -0.13134300 -2.51984500
C 4.19414400 -0.83516100 -2.50858000
C 0.89159700 0.62999000 -1.55114300
C -0.27435800 0.70469200 -0.86532400
C -0.59792900 0.35067600 0.52831800
O 0.30513800 0.24919700 1.38241800
C -2.01433100 0.18454400 0.90698200
C -3.03855200 0.09651400 -0.06205900
C -4.36552400 -0.05278100 0.28825300
C -4.71245400 -0.11193000 1.64622500
C -3.74051600 -0.04526600 2.62493200
C -2.38264300 0.08394500 2.28222800
O -1.50585900 0.10857200 3.28772500
H 5.51156300 -2.08122700 -1.34739000
H 4.05390600 -2.04016600 0.65965800
H 1.94681000 -0.76569400 0.64361800
H 2.70339300 0.40370600 -3.41709000
H 4.82662300 -0.83984000 -3.38890700
H 0.83873200 1.11664200 -2.52366400
H -1.06583700 1.23983900 -1.37662000
H -2.77550200 0.12198400 -1.11161000
H -5.12838300 -0.12504600 -0.47694700
H -5.75246200 -0.22022600 1.93411400
H -3.98663500 -0.10382500 3.67800000
H -0.51723700 0.14856600 2.81931600
B 10 29 F
B 17 29 F
D 4 7 8 9 F
Using TD-DFT I got results that made chemical sense for a T1 state. Any help would be much appreciated
The image labeled T1 is from TD-DFT
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Dear Peyton, did you make sure that you are always comparing the same T1 excited state?
I've modeled UDFT and TDDFT excited states, both open singlet and triplet, and I've obtained quite similar results. However, changing the geometry also changes the distribution of the excited states, such that T1 may have been moved to other Tn position.
Best, Pablo
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It is possible to convert the Gaussian output file to CIF file format?
can anyone help me with this.
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I've never done this specifically, but it appears that ase can do this conversion (https://wiki.fysik.dtu.dk/ase/ase/io/io.html). If the Gaussian file doesn't have unit cell information, presumably you would have to provide this. Should be very easy to code up using ase's read and write commands.
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As per suggested i optimize molecule in semi emipirical Am1,pm3 set and reoptimize it in dft . And directly optimize from gaussian input file . But optimize geometrical parameter and mulliken charge were different for two cases.Is it okay to have different result?
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Adding a bit of technical background to Massimiliano Arca 's already good answer:
if a calculation is run with coarse convergence criteria, the algorithm may determine it has reached a minimum because the derivatives are below a threshold. In the best case you're close to the real minimum, but if the potential surface is very flat, the derivative values may be small over a large range of coordinates and you will have an equally large geometric range at which you calculation will converge. If your structure has "converged" to some place in the surrounding of the minimum, a frequency calculation as suggested by Prof. Arca will reveal this because in a true minimum, you will only get real, positive frequencies, while for a false minimum, you will get at oeast one imaginary frequency.
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Even fixing memory limit and processor unit does not work.
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thank you sir @Massimiliano Arca
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I am try to optimize molecule at 0 K using keyword "Temperature=0" but gaussian performs calculation at 298 K. How to get my required thermodynamic parameter at 0K
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In Gaussian, Temperature= … imposes the temperature of thermochemical calculations (https://gaussian.com/temp/). By definition ZPE is not dependent on the temperature. What changes by increasing T is not ZPE, but the population of higher vibrational states of the GS. See K. K. Irikura "Experimental Vibrational Zero-Point Energies: Diatomic Molecules" J. Phys. Chem. Ref. Data 36(2), 389, 2007.
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I'm trying to simulate the sulfate anion structure in Gaussian, but my double bonds disappeared after the calculations. I had the same problem when I was trying to simulate the acetate anion.
For the sulfate, I put two double bounds in my structure and I decreased their length compared to the two remaining single length.
The following are my file details.
  • Job tipe: Opt + freq (minimum)
  • Method: Ground state. DFT. Default spin. B3LYP. 3-24G. Singlet.
  • General: Ignore symmetry.
  • Solvation: IEFPCM. Water
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Gaussian calculations do not provide directly bond orders. Bond orders can be calculated after a geometry optimization by means of Wiberg bond indexes (NBO) or Mayer bond indexes. The question suggests anyway that Nelson Colman refers to the graphical representation of bonds in GaussView or some similar visualisation software. This is only a graphical artefact based on the comparison of bond distances with the sum of relevant radii: the graphical representation of bonds (single, triple, …) has no QM meaning.
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When I try to create a mapped surface in "surface and contours" the Gaussian gives the following error.. and the cube generation is getting failed
"String too long in BldStr.
Error termination via Lnk1e"
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Hello Ali
Follow the steps to get MEP as follows:
1- First, open the CHK or FCHK file in GaussView
2- In the result tab, select the surfaces/contour section
3- From the cube action section, you must select new cube. type=total density and density matrix=SCF
4- It takes some time to complete this process.
5- In the surface actions section, you must select new mapped surface. And then Generate values only at surface points.
type=ESP & Density Matrix=SCF
Now you can see the MEP of your molecule.
Note, this process needs to be generated and your cpu will be involved. If you are using a weak system, this process may cause damage to your computer. There are some computing companies that will do this for you. For example, MolQube.com company. You can email them:
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I'm trying to simulate the complex [V(H2O)6]3+ using Guassian, but the calculation does not converge.
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This is a convergence issue which can be due to a variety of reasons. My advice is to reformulate your z-matrix (avoid Cartesian coords in possible) so that the starting geometry has the highest possible symmetry, i.e. belongs to a point group with the largest number of symmetry elements (which is probably Th or -worse- D2h). Second, start with a simple basis set (def2svp) and increase its complexity only if needed. Third, try different convergence algorithms (for example a slower quadratic one, qc in Gaussian).
Finally, and maybe most importantly, there is already at least a paper on this topic, dealing exactly [V(OH2)6]3+. Give it a glance:
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I have recently gained access to a research cluster which has Gaussian 16. I am relatively new to both Gaussian and cluster computing. I am currently optimizing a combination of small first row metal-chalcogenide clusters with ligands using a TPSSh functional and a TZVP basis set. I currently have access to several nodes each with 48 cores and at least 8GB of ram per core.
In the .gjf file I have a bit of scratch memory, 32 cores, and 64GB of memory.
%LindaWorkers=str-c23
%NProcShared=32
%rwf=a1,20GB,a2,20GB
%NoSave
%nprocshared=32
%mem=64000MB
In the .slurm I have allocated 1 node, 32 cores, and 2GB of memory per core.
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=32
#SBATCH --time=48:00:00
#SBATCH --mem-per-cpu=2GB
#SBATCH --output=%x_%j.out
Yet when running my optimizations I get dramatically different amounts of memory utilized.
For a run on a single ligand under these conditions it used 31.4 of the 64GB given.
For a larger ligand w/ same condtions used 20GB.
For the small ligand with a larger basis set (def2TZVP) it only used 12.7 GB.
For a metal cluster with 4 ligands (note: convergence failure) it used only 2-3GB.
Is there something I can do to better utilize the memory I have available?
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For those still interested, a new desktop version of GaussMem is available for calculating the amount of memory required by Gaussian calculations as a function of the type of calculation and the number of processors. It can be freely downloaded at the program page:
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Hello, Can anybody assist me in expanding the number of cores using gaussian 9.0 program. I have multiprocessor system with Intel® Core™ i5-1135G7 (up to 4.2 GHz with Intel® Turbo Boost Technology, 8 MB L3 cache, 4 cores) and 8GB RAM. I am using Avogadro and Gaussian, so kindly assist me where to put the commands?
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For those still interested, a new version of GaussMem is available for calculating the amount of memory required by Gaussian calculations as a function of the type of calculation and the number of processors. It can be freely downloaded at the program page:
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I need a small workstation for gaussian package linux version to do some parallel processing. In this regard, what should be the configuration of a workstation?
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In addition to what Yashar Salami answered, I would like to add a few things you can consider before finalizing a workstation. The foremost thing to see is the size of your molecular system, the calculation level, and the type of runs you want to perform because some runs consume a large amount of RAM. At the same time, other things depend on the speed of your processor. The other thing is how fast you want the results. Often, runs take significant time, but you can always have a tradeoff between accuracy and time by carefully understanding the nature of your problem.
I hope this helps.
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In GaussView /Gaussian calculation, I get open-new-file error. Why I am getting and how to resolve?
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Hi,
Did you check the input file? There is probably a problem in your input file for example a wrong extension for %chk section.
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Hello everybody,
The generic equation of an asymmetric Gaussian curve is :
y = k * exp[-{(x-x0)^2}/{2*sig^2}] * [1+erf({a*(x-x0)}/{sig*sqrt(2)})].
I need to know the coordinates ("x" and "y") of the top (assuming k>0) of such an asymmetric Gaussian curve, as a function of the asymmetry parameter "a". Does there exist an analytic function that gives this? At least, does there exist such a function for the more specific but also simpler "y = exp[-{x^2}/2] * [1+erf({a*x}/{sqrt(2)})]" (i.e. with k=1, sig=1, x0=0)? Then it would be easy to generalize for any k, sig and x0.
Thank you very much.
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Hi!
I am working on a thesis project using Gaussian to model reactivtiy in compounds and I keep getting the error message " End of file reading connectivity." I have looked through Gaussian error messages and around on here and have not found anything. Find my output log attached.
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Hello Noah King
Check your input file to see whether connectivity indexes are present after the cartesian coordinates. If not, then try removing the "geom=connectivity" keyword.
I hope this helps.
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Explain in detail.
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Thank you for your valuable efforts Sir Constantinos D. Zeinalipour-Yazdi , Dilawar Singh Sisodiya & Bobby Solanki
The Answer is provided below:
As I was trying to optimize the structure using B2PLYPD functional. The problem is that the default resource is insufficient for an expensive calculation like this.
Note that double-hybrid functionals, like B2PLYPD, follows a similar procedure like MP2:
First, obtain the reference DFT wavefunction (while MP2 uses HF as the reference);
Second, performs a MP2-like calculation for the correlation energy (but with the DFT reference).
The final result is given by adding the (scaled) E2 contribution to the DFT reference energy. Therefore the cost is similar to MP2 instead of DFT.
To avoid this error we need to consider a different model chemistry, or switch to a 64-bit binary and increase the resources available to Gaussian to run it. Also, we can improve the initial geometry so it'll take less steps to converge.
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I am trying to do a single-point polarizability calculation with TDDFT with input :
#p polar td=(nstates=8) M062X/6-31+g(d,p) geom=connectivity
I am getting an error like:
The selected state is a singlet.
CISGrX: IGrad=3 NXY=2 DFT=T
CISAX will form 3 AO SS matrices at one time.
Can anyone suggest any solution?
I have attached the output below.
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OKay. Thank you so much for your help!
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<<The job is described in the followign code, where the gs.chk file is the result of a successful opt + freq calculation.>>
--link1--
%OldChk=8PhOPc_DMF_gs.chk
%Chk=8PhOPc_DMF_ex.chk
# td=(singlets,nstates=12) CAM-B3LYP TZVP Geom=check guess=read
scrf=(solvent=n,n-dimethylformamide) Int=(Ultrafine)
8-PhOPc TD 12 singly excited states: CAM-B3LYP/TZVP
0 1
<<This is the last few lines of output.>>
1 vectors produced by pass997 Test12= 5.85D-13 1.00D-09 XBig12= 5.26D-15 1.08D-09.
1 vectors produced by pass998 Test12= 5.85D-13 1.00D-09 XBig12= 5.35D-15 1.18D-09.
1 vectors produced by pass999 Test12= 5.85D-13 1.00D-09 XBig12= 5.23D-15 1.08D-09.
1 vectors produced by pass*** Test12= 5.85D-13 1.00D-09 XBig12= 5.29D-15 1.14D-09.
CPHF failed to converge in LinEq2.
Error termination via Lnk1e in /opt/apps/gaussian/16.c.01/g16/l1002.exe at Thu Jan 25 22:29:53 2024.
Job cpu time: 45 days 22 hours 11 minutes 56.9 seconds.
Elapsed time: 1 days 3 hours 47 minutes 34.0 seconds.
File lengths (MBytes): RWF= 224288 Int= 0 D2E= 0 Chk= 337 Scr= 1
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This is a known problem in gaussian, that originates from gaussian using two different algorithms for frequency calculations . If the system is too large, gaussian switches to the second algorithm, which is superslow (since it uses disk memory instead of RAM) and often fails.
The solution is to add the following keyword to the input line:
Int=Acc2E=11
which always worked for me (DFT freq for systems of ~100 atoms).
Some people reported also that adding instead:
CPHF(MaxInv=10000)
also solves the problem, though I never used it.
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In Guassian, which convergence algorithm is best for working with transition metal interaction? It is taking a long time to even get the first block of coordinates, in the output file it said to use the steepest-descent method, but I think maybe this is not enough. I read that in Orca there is the KDIIS algorithm to enable faster convergence for transitional metals, is there something similar in Gaussian?
I tried scf=qc and scf=xqc and it does not work for the interaction between graphene and a transition metal cluster.
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The main problem seems not to be due to the algorithm, but to the multireference nature of some transition metal compounds that renders the SCF and the PES rather unreliable. DFT has a lot of problems to describe such systems and that is a physical limitation of the theory.
I'd say that you can't employ DFT on transition metals without some critical thinking, that is a core discussion in the inorganic modelling and you can find references and discussion on it almost everywhere. I'm not sure of what can or can not be done in terms of convergence algorithm, since I believe we should develop more into the multireference methods.
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Hi, I was told that:
  1. CPU Time (in hours)=Total Elapsed Time/Number of Cores
  2. Elapsed Time (in hours)= Elapsed Time=Total Elapsed Time
which means I should expect the CPU time to be less than the elapsed time by a factor of N, where N is the number of cores used.
However, in my Gaussian calculation, CPU time is equal to the elapsed time. My question is, was the job done on a single core? if it did, how do I enable it to run on multi-cores? I did my calculation on a Windows machine.
Thank you in advance.
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Bartosz Trzaskowski Thank you. If it's not too much to ask, is it okay if I DM you the files?
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Hi, I have been trying to obtain the checkpoint files from running gaussian jobs in OSC, but of no avail.
I have tried altering %chk=filename.chk to .fchk, used the utilities in gaussian to obtain the fch file using Formchk but it doesnt work. The formatted checkpoint files i generate always has the same error of "Incomplete data on line 2: JobType method basis", even though the log file has no errors.
Any help is appreciated.
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I think that might be the issue, thank you for your help Enrique Manuel Arpa
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I’m trying to submit another calculation now in B3LYP 6-31/G(d,p) and shown another two error messages:
error #2070 all processing of the last link ended abnormally, all process has been aborted
error #2061 can’t lock the block memory for the list job.
Can you help me with this problems?
thank
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did you get the answer?
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I was trying to build a g-C3N4 graphitic carbon nitride molecule using Gaussview; however, the file seemed to miss handle specific values representing certain atoms as "?s" and then specifying their coordinate values.
What do these "?s" represent, and how can I fix that?
Also, I wanted to ask how I can use the CIF file(from the materials project) directly for Gaussian calculations. As far as my knowledge goes, generally, the CIF files are built to work for vasp/qe software using plane-wave dft.
I also wanted to know if we can do a two or more layered structure analysis in Gaussian.
P.S. Pardon me for my silly and easy questions; I'm just an undergraduate curious to learn but stuck
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Hello,
you can convert CIF file to mol/mol2 file using mercury software. then you will be open the mol/mol2 using gaussian view.
The "?s" represents atoms you deleted but didn't delete the bond of these atoms you can remove them using gaussian view
on gaussian view open your file then click on Edit== Atom list== you will find a list of the atoms with xyz coordinate search for "?s" and delete them
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I have three transition states corresponding to a catalytic cycle, and there are 3 non-bonding interactions involved in them. Are there any tools available in Gaussian 16 that could quantify the strength and nature of these interactions?
Also, can Wiberg Bond order index be used for determining the above?
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Dear Sobitri,
If you wish to qualitatively compare the non-covalent interactions in multiple transition states, using an NCI plot is the best approach.
Please refer to an article from Prof. Sunoj's group: https://pubs.acs.org/doi/10.1021/acs.orglett.7b00890
To understand how to use it, please consult the actual paper: https://pubs.acs.org/doi/10.1021/ct100641a
However, for quantitative comparisons, employ the AIM method (refer to the same paper or recent papers from Prof. Sunoj). To my knowledge, the software they use is a paid version. You can try the Multiwfn software for the same purpose. Please visit the program's website for more details.
--
Best Regards
Vipin
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Overall I would say no, because it can make big mistakes, but it seems to be able to somehow adapt to new knowledge, after processing its data exabytes. Let me give you a couple of examples.
- First, a basic mistake it made:
You
And mathematically, as functions on the real axis, is their behavior very different or similar? Are both peaked functions that tend to zero as the value of the variable increases or do their behaviors bear little similarity?
ChatGPT
Mathematically, both the sinc and Gaussian functions have similar behaviors in that they are both smooth functions that tend to zero as the independent variable moves infinitely further away on the real axis. However, there are differences in their specific forms and how quickly they tend to zero. Sinc Function: The sinc function has a bell shape and is defined as sinc(x)=sin(πx)/πx​. It vanishes for x=0 and has additional zeros at =±1,±2,…x=±1,±2,…. As ∣x∣ increases, the sinc function tends to zero, but its convergence is relatively slow, since the presence of zeros prevents a rapid decay
...
You
I think you are wrong. The sinc function that you have sent does not vanish at x=0 (its value at the origin is 1). On the other hand, the Gaussian always takes positive values ​​and decreases monotonically. For me it is a big difference. Don't you agree?
ChatGPT
My apologies for the confusion and thanks for pointing it out. You are correct in your observation. The sinc function, in fact, does not vanish at x=0 (its value is 1 at that point), and presents oscillations as ∣x∣ increases, which makes it not smooth in the sense of having continuous derivatives in all orders.
- Next, a situation in which it seems to be able to adapt to new knowledge:
You
But the Gaussian and Lorentzian representations do not need to be convolved with test functions in the Schwartz space (as distributions) to get the same result, they can be integrated together with any continuous function and produce the same result as they do with test functions. Only the sinc function or similarly problematic representations need to be restricted to the Schwartz space to become equal to the others. Did you know that? Do you think that this mathematical restriction is fair to the Gaussian and Lorentzian? In this sense, maybe we are talking about different categories of delta functions.
ChatGPT
Yes, you're correct in pointing out a subtle yet crucial distinction. The Gaussian and Lorentzian representations of the Dirac delta function indeed have a special property that allows them to be integrated with a broader class of functions, not necessarily limited to the Schwartz space, and still produce the same result. This property is a consequence of the fact that these representations are entire functions of t and have certain regularity properties.
I would be curious to know your opinion/experience, if only because AI will soon become widespread.
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Thanks again, your replies are as thought-provoking and enlightening!
As someone with a scientific background who happens to work in software development (quality assurance), I can't but subscribe your words that “Developers, too, need to be mindful of the broader implications of their creations.” And I would add that not only them, but everyone else involved in developing these LLMs.
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Processor: Intel(R) Xeon(R) CPU E5-1650 v2 @ 3.50GHz
Installed RAM: 32.0 GB
Cores: 6
Logical Processors: 12
Virtualization: Enabled
System type: 64-bit operating system, x64-based processor
With above configuration of workstation, how far can I increase the memory and no. of. processors in gaussian 09W to use the maximum resources and minimize the time of job?
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Dear Syed Muhammad Saad
Your question is not very clear, the keywords that define the resources for Gaussian that the program should use are described in the program documentation https://gaussian.com/link0/.
Regarding your question, this
%mem - maximum amount of using RAM. Do not forget to leave memory for the normal functioning of the OS, otherwise the calculation speed will only slow down.
%NProcShared - the number of processor cores used for the calculation. Specify only physical cores, in your case this is a maximum of 6.
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Hello all, I hope someone here can help me with some TD-DFT calculations. I am trying to calculate the excited state optimised structures and energies of some Germanium compounds. Firstly, I run a TD calculation of the first 10 excited states, singlets and triplets, using: TDA=(Nstates=10,50-50) WB97XD/genecp From this output I see the first excites states energies and they look ok to me, such as:  Excited State   1:      Triplet-A      2.4156 eV  513.26 nm  f=0.0000  <S**2>=2.000      113 ->120        -0.18260      119 ->120         0.65189  This state for optimization and/or second-order correction.  Total Energy, E(CIS/TDA) =  -1629.19629051     Copying the excited state density for this state as the 1-particle RhoCI density.  Excited State   2:      Singlet-A      3.3296 eV  372.37 nm  f=0.0537  <S**2>=0.000      113 ->120        -0.18586      119 ->120         0.66543 I then try to optimise the first singlet and triplet as I want to see how the spin density looks like in those species. For the first triplet I just indicate multiplicity 3 in the gaussian input (0 3 right before the coordinates), and I get something that I think it makes sense, the molecule geometry changes and I get alpha and beta orbitals, one electron seems to be occupying a virtual orbital by himself.... etc The problem comes with the first singlet excited state, in order to calculate it I use: TD=(Nstates=6,50-50,root=2) WB97XD/genecp Based in the previously calculates excited states, in which the second state is the first singlet. However, after the calculation was done (it took quite a long time) I see an output with completely normal orbitals (not alpha and beta), a nice homo with two electrons and a empty LUMO, as in the molecule looks like a normal diamagnetic ground state molecule. Does someone see something weird in my procedures? If you need any more details please let me know. My apologies if I am making some very basic mistakes I am very new in TD-DFT. Thank you all in advance!
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First of all, thank you very much for taking the time to answering my question. I will read right away your suggested work on SF-TDDFT and others and see what can I get from it.
I am however a bit confused. I am sure there are many things about my proceedings that can be improved and/or modified, after all I am very new in TDDFT. Nonetheless the instructions for the optimization of excited states geometries is quite well described in several sources, for instance:
or in the Gaussian software online manual itself (step 4):
Is this last one that I have used as a reference to try to optimise my S1, I thought it would be just fine as I do not want to see anything too exotic, "just" the spin density of the given exited state. Anyway thanks again for your tip and I will look into it.
Best.
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Recently, in a research paper, i found that the author had optimized the structures in an S1 excited state (S0 = G.S).
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Greetings, regarding the syntax, It is really easy.
In Gaussian the keyword "root", used in TD, select a given excited state to be optimized, so, let's consider you want to optimize the the third excited state:
#p opt TD=(nstates=6,root=3) wb97xd/def2tzvp
This will calculate 6 excited states and optimize the third one (using the theory level you choose, for example, wb97xd/def2tzvp). If you already have performed a TDDFT calculation before and don't want to recalculate everything, you can read the results from the .chk file:
#p opt TD=(read, root=3) wb97xd/def2tzvp density=current guess=read geom=allcheck
But ALWAYS select a couple or more excited states to calculate than the one you are optimizing, otherwise you won't get a proper result, for example, for root=3 try to always select at least nstate=6.
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Hi all,
I have a project to calculate noncovalent bonding interaction. I want to identify if there are any INTRAmolecular interactions in my compound. I was using NCI from Multiwfn to perform it; however, I did not know how to separate the INTERmolecular and INTRAmolecular interactions from the result. Are there other methods to do this?
Thank you in advance.
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You might find symmetry adapted perturbation theory (SAPT) a useful tool for this analysis. SAPT can decompose noncovalent interactions with some useful detail. SAPT is implemented in PSI4.
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How to solve the following error for tddft calculations with lc-wpbe functional in gaussian16?
MaxDer out of range in HSEd.
Error termination via Lnk1e in /apps/gaussian/g16/l914.exe at Fri Dec 8 17:57:29 2023.
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Greetings Rohan Sharma
That is a tricky thing: Gaussian does not have a third order derivative of this functional. So you see, the TDDFT formalism requires a second order derivative and it's gradient would require the third order one (not available in this package).
You can't do any calculation that requires third order derivatives with this functional in Gaussian, so TDDFT is not possible, Raman is also not possible and the list goes on. You may want to change the theory level to address your needs.
Hope this helps your!
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I want to convert the output files of .gjf format from Gaussian to smiles format.Is there any software or online server that accurately converts it.
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  1. Perform Quantum Chemistry Calculation:Use the Gaussian software to perform a quantum chemistry calculation based on the information in the .gjf file. The output of this calculation will include molecular information such as atomic coordinates, bond lengths, and bond angles.
  2. Extract Molecular Information:Extract relevant molecular information from the Gaussian output file (.log or .out). Look for sections that provide atomic coordinates and connectivity information.
  3. Generate 3D Molecular Structure:Use the extracted information to generate a 3D molecular structure. Software tools like Avogadro, PyMOL, or Gaussian itself can be helpful in visualizing and extracting molecular structures.
  4. Obtain SMILES Representation:Use a chemical structure drawing or conversion tool that supports SMILES notation to manually draw or input the 3D molecular structure. Tools like ChemDraw, MarvinSketch, RDKit, or online platforms such as PubChem and ChemSpider allow you to generate SMILES representations.
  5. Generate SMILES:After inputting or drawing the molecular structure, the software tool should provide an option to generate the corresponding SMILES notation. This SMILES string represents the connectivity and arrangement of atoms in the molecule.
  6. Verify SMILES Accuracy:Carefully review and verify the generated SMILES notation to ensure its accuracy and consistency with the original molecular structure.
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Hi, everyone! when I scan the coordinate in Gussian software, The log file shows the following error:
New curvilinear step failed: FormB failed.
Error imposing constraints
Error termination via Lnk1e in /home/Gaussian/Gaussian/g09/l103.exe at Sun May 29 18:16:46 2022.
Has this ever happened to you?
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Hello Weihong Liu,
Performing calculations that require restricted optimization (opt=modredundant), Optimizer does not know how to take the structural initial guesses under the current constraints.
Your structure is quite large (it has 368 electrons), but you only have a small number of cores and RAM for the calculations. MolQube is specialized in Gaussian calculations. You can get help there to perform the calculations.
You can submit your job from "get start" menu.
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Hello. Sorry for asking this question in poor English. I am a student studying organometallic chemistry. I am doing a TS calculation using gaussian16 to find a pathway for a catalytic reaction, but for some reason, it outputs a structure where the two molecules are far apart and not in a transition state. Each molecule has been structure-optimized with optfreq, and the scan calculation of each molecule is used as the initial structure for the TS calculation. I have done the same thing with the same keywords in the pre-reaction phase of the catalytic reaction, and it completes to TS without any problems. What seems to be the problem? I am currently trying to see if the "noeigentest" is not necessary. I used "noeigentest" in both failed and successful calculations, but I am not sure if "noeigentest" is appropriate for a calculation with 84 atoms.
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Some possible explanations:
1. Initial guess: The initial guess for the TS calculation is crucial. Even though you used the optimized structures from the scan calculation, it's possible that the initial guess for the TS calculation is not accurate enough. You might consider providing a better initial guess, such as manually modifying the coordinates to bring the molecules closer together or using interpolation methods to generate an intermediate structure between the reactant and product.
2. Convergence criteria: The default convergence criteria for TS calculations in Gaussian might not be stringent enough for your system. You could consider tightening the convergence criteria by specifying tighter optimization and frequency convergence thresholds using the `Opt` and `Freq` keywords, respectively.
3. Constraints: It's important to ensure that the necessary constraints are properly imposed during the TS calculation. Constraints, such as freezing specific bonds or angles, can help guide the optimization towards the desired transition state. You might need to review and adjust the constraints you're using for the TS calculation.
4. Noeigentest: The `noeigentest` keyword can be used to disable the eigentest in Gaussian, which can improve stability in some cases. However, it's generally recommended to use the `noeigentest` keyword primarily for smaller systems. For larger systems with 84 atoms, the eigentest is usually beneficial for stability and convergence. Therefore, it's advisable to include the `noeigentest` keyword for the TS calculation.
5. Method and basis set: The choice of the computational method and basis set can affect the accuracy and convergence of TS calculations. You might consider using a higher level of theory or a different basis set to improve the results. Additionally, for catalytic reactions, it's often beneficial to use functionals or methods that are known to describe bond-breaking and forming processes accurately.
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I'm looking to calculate charges for my ligand and later run MD simulation on them. I ran into this error suddenly when it had worked in the past. I have Gaussian 16 installed.
My slurm.out
Net charge: -1
Net charge: -1
Charge and Multiplicity [0,1]? Percent or Route card? Percent or Route card? Percent or Route card? Percent or Route card? Route card? Titles? Titles? Charge and Multiplicity? ../../simulation_OTP111_3One_0_Emin.sh: line 25: /programs/g16: Is a directory
Error termination in NtrErr:
ntran open failure returned to fopen.
Error: segmentation violation
rax 0000000000000000, rbx 0000000005c10e60, rcx ffffffffffffffff
rdx 0000000000038f42, rsp 00007fffffa34778, rbp 00007fffffa347b0
rsi 000000000000000b, rdi 0000000000038f42, r8 00002aaaaaae8800
r9 00002aaaaaae8800, r10 00007fffffa33b60, r11 0000000000000206
r12 0000000000000000, r13 0000000005c04598, r14 00007fffffa39bd0
r15 00007fffffa39910
/lib64/libpthread.so.0(+0xf630) [0x2aaaab0ab630]
/lib64/libc.so.6(kill+0x7) [0x2aaaab5f0657]
/programs/g16/newzmat() [0x458fc5]
/programs/g16/newzmat() [0x49ccb9]
/programs/g16/newzmat() [0x4873f2]
/programs/g16/newzmat() [0x434284]
/programs/g16/newzmat() [0x411a36]
/programs/g16/newzmat() [0x4109a6]
/programs/g16/newzmat() [0x410864]
/lib64/libc.so.6(__libc_start_main+0xf5) [0x2aaaab5dc555]
/programs/g16/newzmat() [0x40afa9]
/scratch1/alex/glyco_project/glycomimetics/scripts/make_gaussian_input_file.sh: line 52: 233282 Aborted /programs/g16/newzmat -ichk -ozmat -prompt ${old_chk} ${gaussian_input} < newzmat_here_esp.txt
../../simulation_OTP111_3One_0_Emin.sh: line 31: /programs/g16: Is a directory
Num atoms : 19
Getting ESP charges on OTP111_3One_0_ligand_esp_g16.log
Running Resp
Error: No ESP fitting centers and fitting values exist, adding 'iop(6/33=2) iop(6/42=6)' to the key word list
/scratch1/alex/glyco_project/glycomimetics/scripts/Run.resp: line 42: /scratch2/alex/Set5/Trial_1/simulation/analog_OTP111_3One_0/1_leap/resp-2.2/resp: No such file or directory
Slurm script ends
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Few troubleshooting steps:
1. Check the input file: Ensure that your Gaussian input file is properly formatted and contains all the necessary information. Verify that you have specified the correct molecular structure, basis set, and other relevant parameters.
2. Check the Gaussian software installation: Make sure that Gaussian 16 is correctly installed on your system and that the installation is not corrupted. You can try running a simple test calculation to confirm that Gaussian 16 is functioning properly.
3. Check the Gaussian license: If you are using a licensed version of Gaussian, verify that your license is up to date and valid. In case of any issues with the license, contact the Gaussian support team for assistance.
4. Check the system resources: Ensure that your computer has sufficient resources to perform the calculations. Insufficient memory or disk space can sometimes lead to errors during Gaussian calculations. Check the available memory and disk space on your system and consider freeing up resources if necessary.
5. Check the error message: Examine the specific error message or output generated by Gaussian. It may provide clues about the nature of the problem and help identify potential solutions. If you're unsure about the error message, you can search the Gaussian documentation or seek assistance from the Gaussian user community.
6. Update Gaussian: If you have been using an older version of Gaussian 16, consider updating to the latest version. Newer versions often include bug fixes and improvements that can resolve issues encountered in previous versions.
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I am trying to perform nbo calculations on an optimized structure using Gaussian software. I've included my input file as well as abbreviated NBO orbital interaction output. The separation of this molecule into unit 1 and unit 2 excludes orbital interactions of interest. Is there a way to force NBO calculations on a single molecular unit that includes all of the atoms in the structure?
%chk=popfull.chk
# pop=nbo def2tzvp m062x
Title Card Required
0 1
C 1.95142900 1.26670400 -0.64686300
C 1.49877700 1.25230100 0.81204400
C 0.68871800 -0.00064100 1.14730100
C 1.49928100 -1.25293900 0.81112200
C 1.95190300 -1.26607100 -0.64780600
C 2.73279200 0.00058800 -0.99641200
H 0.42464900 -0.00107800 2.20608600
H 2.39583300 1.26350300 1.44686400
H 0.94295000 2.16218600 1.04824300
H 1.07322900 1.34303900 -1.30171200
H 2.56075300 2.15028700 -0.84583400
H 2.39634600 -1.26420000 1.44592400
H 0.94384400 -2.16323700 1.04663700
H 2.56153300 -2.14928500 -0.84747900
H 1.07368200 -1.34221000 -1.30262700
H 3.67138100 0.00054400 -0.43267600
H 3.00144000 0.00105300 -2.05435600
F -2.91217100 0.00014000 -0.85547800
Cd -1.18278100 -0.00003100 0.09195700
-----------------------------------------------------------------------------------------
Donor NBO (i) Acceptor NBO (j) kcal/mol a.u. a.u.
===================================================================================================
within unit 1
1. BD ( 1) C 1 - C 2 /172. RY*( 1) C 6 0.62 2.04 0.032
from unit 1 to unit 2
10. BD ( 1) C 3 -Cd 19 /253. RY*( 1) F 18 1.42 1.98 0.048
from unit 2 to unit 1
25. CR ( 1) F 18 / 39. LP*( 6)Cd 19 2.78 25.22 0.239
within unit 2
33. LP ( 4) F 18 /257. RY*( 5) F 18 0.53 3.03 0.037
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Dear Kyle Fisch ,
In principle, you can force Gaussian to use the Lewis structure coming from the connectivity using the geom=connectivity keyword (drawing the bonds you need to specify, the bond order does not matter) alongside iop(6/74=1).
But I have to add that I have run a test with the water dimer and, if I force it to a single molecular unit, some strange interactions arise. I have attached the two output files (one specifying the connectivity, one not) as text files, so you can compare. What I mean is that proceed with caution if you enforce a single molecular unit when interpreting the results.
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In NBO analysis by Gaussian I am getting BD(3) and BD(3)* . What do they mean?
How to interpret them
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Thank u Sir/ Madam
I would like to get the clarification for BD(3). It represents which type of orbital and which type of transition occurs between BD(3) and BD(3)*?
Thank u Sir/ Madam
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Dear community,
Is there any way to convert the .chk file to .fchk file WITHOUT using formchk tool of Gaussian software that strictly demand the compatibility of the Gaussian version?
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If you have gaussian installed on a linux machine than just type formchk and convert the chk file to fchk. else i don't think there's any other option.
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I have generated the input file in Gaussian and given command pop=full. In the output file I am not able to figure out how can I obtain the density distribution directly. I need help regarding this.
I am uploading the input file.
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Atazaz Ahsin I did pop =full, and did generate the chk and fchk file, but I want the quantitative data of density distribution of molecular orbitals.
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I have used the hybrid function PBE0 and basis set as C,H,N,O=6-31G**, Co=def2-TZVP.
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That writing error means that your system is not able to write information to the disk, this usually means that you are lacking disk space or disk quota (if you are running in a cluster with limited amounts of resources per user).
So, make sure you can increase the amount of storage you have before trying it again. If the error persists you might have deeper problems regarding your calculation set up.
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In using Opt TD=(nstates=n) in Gaussian, I get many data points for excited state energies of each state, i.e. the results for the TD calculation are repeated after each optimization. Should I just choose the last set? The energies are quite different for the same # excited state each time (~70nm difference for excited state 1 across the repeated results).
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If you try use both keywords at the same time (TD and OPT), the software will do the TD approximation calculation on every step of the optimization. I guess that is not what you are looking for.
If you want to do TDDFT on an optimized structure, you should do the OPT without the TD keyword first. After that you use the optimized structure in a single point calculation with the TD keyword.
It is just as simple as doing a two-step process instead of trying to do it in one calculation.
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I have read some topic about counterpoise on RG. And I have 2 question
1. Is counterpoise with optimization actually meaningless since on Gaussian website has mentioned opt with counterpoise?
2. In Gaussian 16, the counterpoise output shows complexation energy (e.g AB) Do I need to perform opt A and B monomer separately?
Thanks in advance.
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hi Hoàng Minh this will depend on the level of DFT calculation you are using and the purpose of the calculations. Generally, counterpose accounts for the Basis Set Superposition Error (BSSE). For instance, when I used counterpose to calculate the binding energy of two ATEO molecules, applying B3YLP/def2-TZVP – please refer to my work to explain the procedure I followed, which I think is what you're looking for - https://doi.org/10.1039/D1SM01731D
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Dear,
I run the scf calculation for hexagonal BeO structure. And The c parameter was not optimized after calculation. I found this c parameter is differ from literature data. I added the optimization file code. Do you have any comment for this input file. Where could there be a mistake ?
&CONTROL
calculation = "vc-relax"
forc_conv_thr = 1.00000e-03
nstep = 100
prefix ="BeO_scf_cal"
verbosity ="high"
restart_mode = "from_scratch"
outdir = './outdir'
pseudo_dir = "C:/Users/LENOVO/Desktop/QE/deneme/BeO"
/
&SYSTEM
celldm(1) = 5.098
celldm(3) = 3.067
degauss = 0.01
ecutrho = 650.0
ecutwfc = 65.0
ibrav = 4
nat = 4
ntyp = 2
occupations = "smearing"
smearing = "gaussian"
/
&ELECTRONS
conv_thr = 1.00000e-8
electron_maxstep = 100
mixing_beta = 7.00000e-01
startingpot = "atomic"
startingwfc = "atomic+random"
/
&IONS
ion_dynamics = "bfgs"
/
&CELL
cell_dofree = "all"
cell_dynamics = "bfgs"
/
ATOMIC_SPECIES
Be 9.012 Be.pbe-n-rrkjus_psl.1.0.0.UPF
O 15.999 O.pbe-n-rrkjus_psl.1.0.0.UPF
ATOMIC_POSITIONS {crystal}
Be 0.0000 0.0000 0.0000
Be 0.3333 0.6666 0.5000
O 0.0000 0.0000 0.3780
O 0.3333 0.6666 0.8780
K_POINTS {automatic}
16 16 14 0 0 0
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Bruno Poti e Silva thank you for reply. I have the structure when i put the final positions in VESTA after geometric optimization. Please find the attachment. It is wrong, its not hexagonal structure.
Maybe the structure is not fully optimized during geometric optimization. I dont know. The optimization file seems be okey.
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I am using Gaussian on a structure with Iodine. I use LanL2DZ for the Iodine atom and 6-31G for the other atoms. I cant seem to use Pop=MK. I get an error, "GetVDW: no radius for atom 12 atomic number 53." I need ESP information in the Gaussian output file for my next step using AmberMD. Any ideas?
# opt freq B3LYP/genecp Pop=mk iop(6/33=2,6/41=10,6/42=17)
remark line goes here
0 1
C 2.4590000000 -0.6850000000 -0.0220000000
C 2.4620000000 0.7060000000 0.0150000000
C 1.2490000000 1.3980000000 0.0240000000
C 0.0090000000 0.7110000000 -0.0090000000
C 0.0190000000 -0.6980000000 -0.0420000000
C 1.2430000000 -1.3660000000 -0.0440000000
C -1.2600000000 1.3330000000 -0.0130000000
C -2.4220000000 0.5700000000 -0.0520000000
C -2.2940000000 -0.8030000000 -0.0810000000
N -1.1060000000 -1.4440000000 -0.0740000000
O 1.2140000000 -2.7440000000 -0.0710000000
I 4.2920000000 -1.6840000000 -0.0470000000
Cl 1.3310000000 3.1280000000 0.0730000000
H 3.4000000000 1.2570000000 0.0350000000
H -1.3520000000 2.4160000000 0.0100000000
H -3.4000000000 1.0390000000 -0.0600000000
H -3.1700000000 -1.4460000000 -0.1120000000
H 0.2580000000 -2.9680000000 -0.0780000000
C H N O Cl 0
6-31g*
****
I 0
Lanl2dz
****
I 0
Lanl2dz
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I have the same problem, but with boron and cobalt, when attempting RESP for Amber MD. Could you perhaps help me where to find these values?
Thank you
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when we run our file with fchk additional keyword we get file with test.fchk name, how can we change test name?
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The simplest the best. Stick with the chk file and eventually convert it to fchk with formchk.
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Hello everyone, (Question about gaussian heat source)
It might be a very basic question but I am having a hard time imagining the Gaussian heat source. I want to apply the heat source through the node "deposited beam power". You can find this node under heat transfer module >Heat source> deposited beam power.
What I understood is, "O" is the origin of laser, not the point where we want to apply the heat source.
About "e" (laser beam's orientation), As you can see there are no units assigned to it. So, I think it must be a unit vector. I want to apply this heat source in my 2D ais symmetric model. So, I can only put the value in "z" column for "O" and "e". The coordinate where I want to apply the laser heat source is (0,-0.3), therefore:
O: (0,0,0)
e: (0,0,-0.3)
Is it okay ? I put my geometry in the negative z axis (-0.3) to put the negative sign in the "e" because of the direction of the laser. Please clear this.
Second, "d" (see the figure) is the distance between e and x. What is x here? How can I visualize it?
Your comments and suggestions are awaited.
Thank You.
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Origin O(x,y,z) represents the reference point and for beam orientation, you are applying laser in downward Z- direction, so you have to use e(0,0,-1).
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Early assessment of biomarker variability in target populations is essential for the speedy validation and cost-efficient development of biomarkers.
Markers may increase and decrease to a different extent or remain unchanged in patients diagnosed with the same disease. (Cancer Res., 2019 Jul 1; 79(13):3492-3502)
Misclassification of samples on biomarkers may impact clinical trial patient recruitment and treatment outcomes.
We developed g3mclass, practical software that automates the Gaussian Mixture Model and Bayes classifier and augments conventional binary classification. (Sci Rep. 2022 Nov 5; 12(1):18742) https://www.nature.com/articles/s41598-022-23438-9
Are you interested in being an early software adopter? Don't hesitate to reach out to us!
Marina Guvakova, PhD
The g3mclass co-author and licensor
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The knowledge and practice of precision medicine in cancer have been progressing rapidly. Advances in precision medicine in cancer have led to targeted cancer therapies, which work by interfering with specific cellular processes involved in the growth, spread, and progression of cancer. Currently, targeted therapy is the exception rather than the rule and is more developed in some cancers than in others, but in cases where patients are able to be treated with targeted therapies, studies have shown improved patient outcomes across cancer types
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Respected Scientific Community,
I am facing an issue with reading data in .chk file that I have just transferred (using win-SCP) from Gaussian installed on supercomputer.
I have tried the tutorial available on Gaussian website (from Gaussian step > Utilities > Fchk using my window-based laptop (Gaussian 09)
It generated the .fchk file with 0 kb.
I would be highly obliged If any lead assist me in this regard?
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Hi,
In this video, explained how to convert .chk to .fchk using Gaussian 09W
please make use of it. this is simple.
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Dear,
Greetings of the day,
I tried to convert .chk to .fchk format by formchk command and gaussian/utilities/formchk way, but it doesn't work.
Do you have any suggestions, please.
Thanking you​
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Hi,
In this video, explained how to convert .chk to .fchk using Gaussian 09W
please make use of it. this is simple.
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Hi all,
I'm trying to run a single point calculation with swapped MO ( I used guess=Alter to swapped them.)
I checked that the MO order is swapped at the beginning of the SCF but it goes back to original ordering at the end of calculation. I want to just restrict the order not freeze MO.
Does anyone know the keyword to do this?
Thank you.
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Dear Pablo Mtz
I need to swap 1s orbital but this may not be a good idea.
Thank you so much for your help.
Wish you all the best
Woojin
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Hello everybody,
I analyzed a picture in ImageJ, but I encountered a problem with the threshold. I tried to count cells with analyzed particles. Before starting, I adjusted the picture by changing the contrast and applying a Gaussian filter. Until yesterday, I did it exactly as described, but today the program displayed a message: 'the threshold may not be correct (255-255).'
Can someone help me with this issue? Has anyone with the same problem been able to resolve it?
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The error message you encountered in ImageJ, "the threshold may not be correct (255-255)," typically occurs when there's an issue with the threshold settings during image analysis. It indicates that ImageJ is not able to determine a valid threshold for segmenting objects in your image. Here are some steps to help you troubleshoot and resolve this issue:
1. **Check Image Consistency**:
- Ensure that the image you're trying to analyze is consistent and well-prepared. Any unexpected changes in the image, such as variations in brightness or contrast, can affect thresholding.
2. **Review Threshold Settings**:
- Double-check the threshold settings you're using. In ImageJ, you can access the Threshold tool by going to `Image > Adjust > Threshold`. Make sure that the thresholding method (e.g., Auto, Manual, or a specific algorithm) and the lower and upper threshold values are set correctly for your image.
3. **Image Preprocessing**:
- It's good practice to preprocess your image before thresholding. You mentioned that you adjusted the contrast and applied a Gaussian filter, which is a common preprocessing step. Ensure that these adjustments are appropriate for your image.
4. **Image Format**:
- Verify that your image is in a supported format and that it's not corrupted. ImageJ works with common image formats like JPEG, PNG, TIFF, etc.
5. **Image Calibration**:
- If your image is in scientific units (e.g., micrometers per pixel), make sure to set the appropriate scale and calibration settings in ImageJ to ensure accurate measurements.
6. **Update or Reinstall ImageJ**:
- Sometimes, software issues can be resolved by updating to the latest version of ImageJ or reinstalling it if you suspect any corruption in the installation.
7. **Memory and System Resources**:
- Ensure that your computer has sufficient memory and system resources to process the image. Large images may require more memory.
8. **Check for Outliers**:
- High-intensity outliers or artifacts in your image can impact thresholding. Inspect the image for such anomalies and consider removing or correcting them.
9. **Sample Size and Image Variability**:
- Ensure that you have a representative sample size of objects in your image. Very small or very large samples can lead to thresholding issues. Additionally, if the objects vary greatly in intensity or size, this can affect thresholding.
10. **Manual Thresholding**:
- If automated thresholding methods fail, you can try manual thresholding by selecting a suitable threshold value visually.
11. **Consult ImageJ Community**:
- If you've tried these steps and still encounter the issue, consider reaching out to the ImageJ community through forums or mailing lists. Other users may have encountered similar problems and can provide guidance.
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Hey all,
I am working with Gaussian 16 program package. For one of my geometry optimization calculations more than 100 geometry cycles runs are required. But even when I am including the tag "opt=(maxcycles=150)" in the input, it runs only up to 100 geometry cycles. So, please suggest the ways to increase the number of geometry cycle runs.
Your suggestions would be appreciated.
Thank You!
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For increasing N number of cycle , add this additional key word in gaussian software
"scf=(maxcycle=N)"
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hello every body
Does anyone have any idea to solve error l801 in gaussian 09. here is the snapshot of the error. it is an mp2 optimizaion of guanine and Mg+2 cation. I would be very thankful.
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It is difficult to reply without further information, but you may find some hints here:
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I need optimization on Gaussian 16 using same xyz coordinates form ORCA output.
But in Gaussian i am not getting the same optimized geometry as in ORCA (structure changed). Which is reliable optimization? and how to fix Gaussian without error termination meggasge
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currently, I am working on a computational method of drug delivery system using Gaussian 09. I want to study PET, PCT, and NCI analysis complex systems. let me know the protocol and procedure of this analysis and how to do it.
Thanks in advance
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Thank you
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Gaussian noise refers to random variations that follow a normal distribution, also known as a Gaussian distribution. Fractals, on the other hand, are complex and self-repeating geometric patterns.
While noise in fractal patterns can be generated using various techniques, including random perturbations and iterative algorithms, adding Gaussian noise to a fractal can introduce additional random variations to its structure.
The process of adding Gaussian noise to a fractal involves applying random values from a Gaussian distribution to the fractal's existing structure. These random values can be used to modify the position, scale, or color of individual fractal elements, resulting in a distorted, yet still recognizable fractal pattern.
Brownian motion, also known as random walk, is a physical phenomenon where particles suspended in a fluid undergo random movements due to collisions with the fluid molecules. These movements appear to be erratic and unpredictable. Fractals, on the other hand, are mathematical objects that exhibit self-similarity at different scales. They are characterized by recursive patterns that repeat at smaller and smaller magnifications. When it comes to the relationship between Brownian motion and fractals, interesting connections can be drawn. One such connection is the concept of fractional Brownian motion (fBm), which is a generalization of classical Brownian motion to fractal dimensions. In classical Brownian motion, the increments of the random walk are independent of each other. In contrast, in fBm, the increments are correlated, giving rise to long-range dependence. This means that the behavior of the process at a given time is influenced by its past behavior over long periods. The fractal nature of fBm arises from the fact that its increments have a power-law autocovariance function, meaning that the correlation between increments decays as a power of the time lag. This power law behavior is similar to the self-similarity observed in fractals.
What other properties should these two time series have in order to have a more accurate estimate of the fractal dimension of well-known fractals and dynamical systems such as Lorenz that have chaotic behavior?
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Brownian motion and Gaussian noise are two fundamental time series models often used in fractal analysis and statistical physics. Here's an idea for a research project that explores their relationship in the context of fractal analysis:
Research Idea: Investigate the relationship between Brownian motion and Gaussian noise in the context of fractal analysis to understand their scaling properties and potential applications.
Research Plan:
Generate Simulated Time Series: Generate synthetic time series data for both Brownian motion and Gaussian noise with varying parameters (e.g., diffusion coefficient for Brownian motion and standard deviation for Gaussian noise).
Fractal Analysis: Apply fractal analysis techniques, such as Hurst exponent estimation, to quantify the scaling properties of these time series. Explore how these properties change with different parameters.
Comparative Analysis: Compare the fractal properties of Brownian motion and Gaussian noise. Determine if there are distinct differences in their scaling behaviors and fractal dimensions.
Applications: Explore potential applications of this analysis. For example, can the relationship between Brownian motion and Gaussian noise be used to model and analyze real-world data, such as financial time series or environmental data?
Statistical Tests: Perform statistical tests to validate the significance of any observed relationships or differences between Brownian motion and Gaussian noise in the context of fractal analysis.
Visualization: Create visualizations to illustrate the differences and similarities between these time series models in terms of their fractal properties.
Interpretation: Discuss the implications of the findings in terms of understanding the underlying dynamics of stochastic processes and how they can be applied in practical scenarios.
This research could contribute to a deeper understanding of the role of Brownian motion and Gaussian noise in fractal analysis and potentially lead to new insights or applications in various fields, including finance, physics, and environmental science.
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Hi all,
I am working on mechanistic study of organometallic complexes using Gaussian 09 program package. In most of the recent research paper they reported that LAC3Vp basis set is good for metal complexes. Can you please help me in getting the LAC3VP basis for copper in Gaussian format? I checked in Basis set library the LAC3VP basis set is not available. It will be more helpful for me if anyone helps me in this regard.
Thanks
Manonmani G
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LAC3VP is the de-contracted basis of LANL2DZ developed by Schrodinger Inc. From memory, I recall that it has Hay and Wadt ECP and similar valance functions as in LANL2TZ or LANLO8 basis sets.
There is no need to prioritize that specific basis set unless you use Jaguar.
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PRIMES LDS software (PRIMES LASER DIAGNOSTIC SOFTWARE) is a well known tool for M2 measurements for laser beams. Anyone working with the software? Want to know the reason for taking multiple planes to measure M2. When we want to take a final result, which plane should be looked in to? If we are measuring a closer to a single mode beam, does each plane should give a Gaussian intensity distribution?
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Dear Chathurangani,
as Michael already pointed out, the measurement of M2 needs the profile in multiple planes of the beam caustic. As the product of beam waist and far field divergence (hence the name "beam parameter product"), both regions have to be measured, typically at at least 10 positions. The details can be found in the ISO standard 11146 and is implemented in the LDS.
Regarding the question of which plane to look at, it depends a bit on what your interested in. But yes, as already mentioned, a fundamental TEM00 (gaussian) mode would be shape-invariant (just scaling) along the propagation. By the way, pure higher TEM modes are also shape-invariant, although with a higher M2 value.
Best
Andreas
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Actually, I followed some papers to calculate pKa value by using gaussian..
I need to all equations that related for this calculation
Thank you so much
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Please refer to our latest manuscript for the equations;
You should find out the free energy change for the reaction and divide it using 2.303RT.
As mentioned by Alexey N. Masliy accurate usage of solvation energies is vital in the estimation of pKa.
Best wishes.
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I am optimizing complexes and used the following as parameters #P B3LYP/6-31G* Opt Freq Pop=(Regular,NBORead) Density=Current. How I can find HOMO LUMOs in .log file from Gaussian?
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This is easy. You can find in the output file something like this
**********************************************************************
Population analysis using the SCF Density.
**********************************************************************
Alpha occ. eigenvalues -- -20.55498 -1.34387 -0.70920 -0.57622 -0.50409
Alpha virt. eigenvalues -- 0.14207 0.20370 0.54392 0.59886 0.66909
The last occ. eigenvalues -0.50409 a.u. is the HOMO energy. The first virt. eigenvalues 0.14207 a.u. is the LUMO energy. If you are performing a restricted closed-shell DFT calculation, this is what you want.
If you are performing an unrestricted DFT (UDFT) calculation, what I show is alpha HOMO, alpha LUMO. There would be corresponding beta HOMO, beta LUMO, which you can find after the Alpha eigenvalues section.
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does anyone knows if the MDL output format in Gaussian is the same as a molden output?
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How did you generate/output .mdl file? I've never heard of that before.
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I have recently optimizing the structure of some metal complexes using Gaussian 16, DFT calculation. But I have faced some problems when try to optimize complexes containing f-block elements like Ce. I am using B3LYP and LANL2DZ for other complexes but in case of Ce the link died immediately. Can someone tell me how to optimize those f-block complexes? And how to use customized basis set for the same? Or should I try other software like orca ?
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Dear Hrishi,
And use this portal to obtain the appropriate customized basis set for Gaussian: https://www.basissetexchange.org/
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End of G2Drv Frequency-dependent properties file 721 does not exist.
End of G2Drv Frequency-dependent properties file 722 does not exist.
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I also got this error. How to fix it?
If we wait for sometime shall we get the output?
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Gauss Veiw software
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# CCSD(T)/6-311+g(d,p) opt freq
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HII
I want to perform QST2 or QST3 using gaussian 16 to determine the transition state. I have got several saddle points for reaction with single imaginary frequency. I am trying to get IRC trajectory starting with TS-geometry.
Should I go to run QST2 or QST3 after getting IRC path?. Or QST2 OR QST3 are necessary apart from TS-Berny to classify the transition state. Is the rout line of QST2 input is same as for TS?
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Generally, I had no great success with QST2 nor QST3
The best practice to locate a TS is
a) perform a relaxed scan along the reaction coordinate (bond) under study
you could use something like
# opt=modredundant uMN15L/6-31+g(d,p)
Then add the details at the bottom of the file
B 1 2 S 20 0.100000
b) Take the highest energy point from step a and save it as input file for your TS search , then locate the TS using
# opt=(calcfc,ts,noeigen) uMN15L/6-31+g(d,p) freq
noeigen ensures that you will have only one imag freq
Also, take a look at
https://doi.org/10.1039/C7CP06082C
Good luck
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Hello,
I am trying to run a calculation using the HF/LANL2DZ level of theory, and am interested in visualizing the canonical orbitals and the basis functions. The molecule of interest is pentagonal planar (D5h point group), and I would like to choose the coordinate system such that the py basis functions on the terminal atoms are pointing towards the center of the molecule.
Does g09 support this? What keywords would I have to add to the route section to achieve this?
Thank you very much!
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Adam Matěj Thank you for your response- The project I am working on is for students to better visualize the quantitative calculations by comparing it to qualitative calculations taught in inorganic chemistry courses.
I am comparing qualitative results calculated from group theory to quantitative results from a computational calculation for a planar D5h symmetric molecule.
In the qualitative calculation, the py basis functions were oriented pointing towards the z axis to emphasize the symmetry. I would like to reflect that in the quantitative calculation so I can make a cleaner comparison.
I am using AOMix to print the coefficients from the computational calculation, however at the moment since the basis functions are not oriented as desired, I must do some trigonometry which is rather tedious. I also use the visualization software iqmol to visualize the basis functions, so having them oriented to emphasize symmetry would be useful.
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Hi there! I'm a physics engineering student student working on a materials science project, and I'm currently running a simulation using LAMMPS. However, I've encountered an issue with the error message "ERROR: Lost atoms: original 182322 current 181371 (../thermo.cpp:438) Last command: run 10000" when running the script. My goal is to simulate the collision of a Cu nanoparticle with a Ni surface under normal conditions. I have attached the input file for reference.
The problem seems to be related to the "velocity nickel create 100.0 12345 dist gaussian" command line. When I include this line in the script, the program gives me the error. However, if I remove that line, the code works perfectly, but I lost information.
I want to resolve this issue to make the simulation more realistic.
Could you please help me with this? I'm eager to improve the accuracy of the simulation. Thank you!
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Hi Lucas Valdivia , you could check two things to make a first step towards solving this problem. Essentially your dynamics are too violent leading to the loss in atoms while message-passing.
1. Run an energy minimization on the initial configuration: "min_style cg; minimize 0 0 10000 10000"
2. Your timestep might be too large leading to unable evolution of the dynamics. You probably need a much smaller timestep in case you still have issues after implementing solution 1.
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I have been trying to optimize the structure of ionic liquid containing ammonium as cation and closo dodecaborane as anion with gaussian and gauss view. But the anion instead of developing electrostatic interaction with cation, captures the two hydrogens from cation.
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You probably have to force the initial occupation numbers for your orbitals in the initial guess, but I don't know how to do that for Gaussian.
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I need to optimize the structure in solvent mixture of ethanol and toluene in various proportion (Gaussian 16 software) using the DFT methods. How can I define this in gaussian 16 software?
Thank you in advance
with regards
Akilesh Muralidharan
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EPS (dielectric constant) keyword can be used as alternative to define solvent mixture.
The dielectric constant value of solvent mixture can be defined as following equation.
EPS_mixture = [EPS_solvent_1 * ratio + EPS_solvent_2*(1-ratio)]/2
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How can I calculate the SOMO value to be able to perform SOMO-HOMO calculations? When I do the HOMO LUMO calculations of the structure I'm working on (spin doublet), I see two values due to the spin state. What is required for me to do this work?
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please, can you put a video in here?
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I am investigating disulfide radicals of the type in Hall et al (2014) doi:10.1021/ja500087m, and I am having trouble rationalizing the results I am getting in the optimizations using Gaussian. Obviously the lowest energy is found when the charge is symmetrically distributed, but I want to investigate the geometry and energy is the charge is localized on one sulfur. If that doesn't seem to make sense chemically, trust me I know, I'm working a hunch.
I have run a CASSCF calculation but the calculation still determines the symmetrical distribution to be better and gives that result. I have tried making one of the sulfurs a separate charged fragment and the initial guess gives me a good result, but once I run the optimization it all blends.
Is there any way to get the software to give the lowest-energy-possible-if-this-one-condition-is-met?
Thanks in advance for any ideas!
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Dear Max, you may try Constrained DFT in the case of charge localized in one fragment. Let's say we have complex A / A, with C-DFT you can optimize A / A+.
On the other hand, charge separation is different, let's say A+ / A-
In this case, I used to move a molecular orbital from one fragment to the other one, thus creating a hole (A+) in one fragment and an electron in the other (A-).
Hope this is useful.
Best, Pablo
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I have tried using freq n polar in the route sec but my job failed. I am not able to figure out where is the problem.
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you can get mor information in the manual of multiwfn in this manual explain about polarizability and hyper
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How can I run a single-point TDDFT for 20 excitations? what is the command line should be in gaussian?
Then I want generate NTOs from that, How can I do?
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In the input file, just enter the keyword “td(nstates=20)”. This can be done both at a previously optimized geometry or at a frozen geometry taken, for example, from structural data.
An example follows:
%chk=benzene_td
%nproc=8
%mem=150MW
#p <method> <basis set> td(nstates=20) pop=full gfinput gfprint
Benzene molecule
0 1
X X 1 1.0 C 2 XC 1 A1 C 2 XC 1 A1 3 60.0 C 2 XC 1 A1 4 60.0 C 2 XC 1 A1 5 60.0 C 2 XC 1 A1 6 60.0
C 2 XC 1 A1 7 60.0 X 3 1.0 2 A1 1 0.0 H 3 HC 9 A1 2 180.0 H 4 HC 3 A2 2 180.0 H 5 HC 4 A2 2 180.0 H 6 HC 5 A2 2 180.0 H 7 HC 6 A2 2 180.0 H 8 HC 7 A2 2 180.0 A1 = 90.0 A2 = 120.0 XC = 1.3 HC = 1.08
(Remember to include an empty line at the end)
<Method> can be any available method or DFT functional (for example HF, MP2, B3LYP, PBE1PBE and so on); <basis set> should be available for the atomic species of your molecule. In general the Minnesota family of DFT functions and the PBE0 functional are well suited for DFT calculations. As for the basis sets, I strongly suggest to consider large enough sets including diffuse functions.
I hope this helps!
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I have been trying to calculate polarizability in Gaussian for benzene molecule but I am getting ntrex1 error. I tried changing everything but can't figure out the problem and how to fix it. Can anyone please help?
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Thank you Alexey N. Masliy
I have fixed it
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I am working on diheme with using basis set 6-31g** for C, N, O and LAN2DZ for Fe and Ni. When I submitted the job, it stopped by showing the error " Failed to open execfile". Anyone please help for resolving this error.
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Thank you @ Ashkan Zare Karizak for your answer. When I submitted the job, some running and show normal termination while sone files showing this error. So is there problem in input file or permission problem. Please help.
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Hi,
I investigated the stability of the wavefunction of Cl-pyridine in Gaussian 16 at (HF/aug-cc-pvtz stable=opt), but the output stated there is RHF->UHF instability. I was under the impression that the UHF should not be used for closed-shell systems? Am I wrong? Is this some sort of "artifact"? Can anyone provide some guidance?
Thank you very much fo the help.
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Thank you for the reply.
The geometry was optimized at MP2/aug-cc-pvtz and converged, the input. The freq calculation also did not find any imaginary frequencies. If I check the HF wavefunction, the stable keyword finds RHF->UHF instability, but if I use B3LYP the wavefunction is stable. If it was an open shell configuration, shouldn't both find the same? The difference of RHF and UHF energy is rather small, approx 2kcal/mol so I was thinking what is wrong here. Maybe I misunderstood how to do the stable calculation. My input is as follows:
%oldchk=previous.chk
%chk=current.chk
# HF/aug-cc-pvtz guess=read geom allcheck stable
Could you maybe give some advice how to approach this problem?
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Hi
is there any way to convert Gaussian output file (fchk) to molpro output?
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Tahereh Alavi In that case, can you specify what you need the converted output for? If you don't actually want to run Molpro calculations, there might be an easier way, maybe somebody has a script for that.
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Hello, I am relaxing a structure, to see the interactions of this, by means of gaussian, but I got this error:
Error termination via Lnk1e in /opt/g16/l801.exe
and I don't know if I'm looking for wrong, but I can't find a solution. Does anyone know what to do ?
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Dear Pablo, it is more useful to check out the lines before the .exe error, since that is an internal code used by the program, but just before the .exe line the error is explained. Also, here you can find all errors, including L801.
Best, Pablo
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Can we do the computational studies of ZnO Nanoparticles using Gaussian Software? If yes, Which structure of ZnO can we use to compare Theoretical work with experimental work?
#computationalstudies #ZnO #ZnOnanoparticles #nanoparticles #Gaussiansoftware #ZnOstructure #theoreticalstudy
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Dear Abisha Meji ,Milon
We can do more precise theoretical studies of ZnO Nanoparticles using Gaussian Software?
Since ZnO is an inorganic material and highly useful in various applications.
The wurtzite hexagonal crystal structure is considered to be the most stable structure of ZnO. It can be easily synthesized at room temperature. It is mostly used in the structure to compare with theoretical studies. The other structure (cubic) of ZnO is difficult to synthesise and compare.
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Can we do the computational studies of ZnO Nanoparticles using Gaussian Software? If yes, Which structure of ZnO can we use to compare Theoretical work with experimental work?
#computationalstudies #ZnO #ZnOnanoparticles #nanoparticles #Gaussiansoftware #ZnOstructure #theoreticalstudy
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When comparing theoretical work with experimental work for ZnO nanoparticles, it is common to use the wurtzite crystal structure. It is a hexagonal structure with alternating layers of zinc and oxygen atoms.
Keep in mind that when working with nanoparticles, the size and shape of the nanoparticles can also influence their properties.
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I am trying to optimize a molecule using gaussian 16 which is installed on my institute's HPC (high performance computer) cluster. During the optimization process, gaussian is creating a file with ".rwf" extension in the scratch directory. Its size is enormous (3100GB). However, I have a space quota of only 3TB so as soon as the HPC detects a file greater than 3TB, it kills my job.
Is there a way to prevent the creation of the ".rwf" file? If not, then is there a way to put a size restriction on it so that it does not exceeds my space quota? Can I restart my calculation from the checkpoint file which got created before my job got killed? Please help.
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Prathvi Singh can you please share the details, if you solve this problem, i am also facing the same problem. Thanks in advance.
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Hi
I am new to LAMMPS, and trying to learn how to simulate liquid molecular environments, I was looking for a way of generating input structure files, I've come across so many different software (such as vmd and its plugins which is not user friendly and was a waste of time), does anyone know any good tutorial to learn how to build such input file (if we don't use already available pdb files)? I am quite familiar with Gaussian, is there any way to get the structure of one molecule from the Gaussian and build the pdb file based on that? I understand that we probably need more than one molecule as the input molecular structure.
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Am working on optimizing lipid/metal system using gaussian, but am getting the " Error reading general basis specification" Any help in fixing this. I have attached copy of my input file
Could this people the basis set choosing?
OR
The way i wrote my input file?
OR
any advice
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Dear Dare, at the end of each bs section, insert “****” (four asterisks) in place of “*****” (five asterisks). Remember to leave a couple of empty lines at the end of the input file.
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it is bidentate ligand and iron 3+ is the metal ion complex
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Naphtol green b is the sodium salt of naohtol green y. The coordination is supposed to be performed by th N in the NO substituent and the deprotonated phenol function. Charge is zero, multiplicity depends on whether Fe(iii) is high-spin or low-spin so either 2 or 6