Gaussian '16 is now available on Odyssey. To use it, add the following lines to ~/.bashrc:
Gaussian Download Mac Installer
source new-modules.sh
. /n/sw/g16_nehalem/setup.bash
. /n/sw/g16_nehalem/setup.bash
Two builds of Gaussian are available: nehalem (older processors) and broadwell (newer processors). The setup script above should auto-detect which version you need.
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NBO 6 has been installed as well. To use it, use the pop=nbo6read keyword in your Gaussian input file. Here is an example for water:
%mem=500MB
#p hf/3-21g pop=nbo6read
title
0 1
O 0.000 0.000 0.0
H 0.757 0.586 0.0
H -0.757 0.586 0.0
$NBO $END http://reicibumbform1974.wikidot.com/blog:23.
#p hf/3-21g pop=nbo6read
title
0 1
O 0.000 0.000 0.0
H 0.757 0.586 0.0
H -0.757 0.586 0.0
$NBO $END http://reicibumbform1974.wikidot.com/blog:23.
GaussView for PC and Mac can be obtained from the RC software download page. GMMX, a new addon that allows you to perform molecular mechanics calculations in GaussView, is also available.
![Gaussian download mac installer Gaussian download mac installer](/uploads/1/2/7/6/127624238/419416177.jpg)
With the gaussian group highlighted, check the user accounts that are permitted to run gaussian, e.g., smith Click the lock in the lower-left corner to end making changes Add the webserver user (www in OS X 10.4, or www in OS X 10.5) to the gaussian group. Non-Penn researchers should contact Gaussian.com for their own license. Gaussian for Mac. Gaussian 16 OS X versions (GaussView 6.016 with A.03 64-bit) Gaussian for Linux. Gaussian 16 A.03 Linux binary versions (Intel IA32, IA64, x86-64 legacy CPUs) Gaussian 16 A.03 UNIX workstation source; Gaussian for Windows. GaussView + Gaussian Utilities.
If you wish to use Gaussian '09 for some reason, use
Download Gaussian Software Tool
![Gaussian Download Mac Gaussian Download Mac](/uploads/1/2/7/6/127624238/779315584.jpg)
module load gaussian/09_D.01-fasrc01
Both Gaussian '09 Rev D and Gaussian '16 include dispersion-corrected density functionals. For more information, see this page and click on 'more' and 'EmpiricalDispersion.'