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chgrp -R gaussian_group /opt/gaussian/g16 chmod -R 750 /opt/gaussian/g16

sudo tar -xzf G16.tar.gz -C /opt/gaussian/g16

sed -i "1i %NProcShared=$SLURM_CPUS_PER_TASK\n%Mem=$SLURM_MEM_PER_NODEMB" input.com

export GAUSS_PDEF=$SLURM_NTASKS export GAUSS_MDEF=60GB

This script divides a 128-core node into 4 independent jobs, each using 32 cores on its own dedicated partition.

Allocate at least 2 GB to 4 GB of RAM per CPU core for standard Density Functional Theory (DFT) calculations. For post-Hartree-Fock methods (e.g., MP2, CCSD(T)), scale this up to 8 GB–16 GB per core.

Gaussian 16 on Linux represents the intersection of advanced chemical theory and high-tier systems engineering. For the computational chemist, the Linux version is not just a preference but a necessity for stability and speed. It provides the raw power required to transform theoretical equations into predictable, visualizable chemical insights. Bash template to help you automate your Gaussian 16 job submissions?

rm -rf $GAUSS_SCRDIR

g16 < input.com > output.log

First, decide on an installation directory. A common practice is to install in /usr/local/ . Log in as a user with sudo privileges and create the directory:

Gaussian 16 Linux Page

chgrp -R gaussian_group /opt/gaussian/g16 chmod -R 750 /opt/gaussian/g16

sudo tar -xzf G16.tar.gz -C /opt/gaussian/g16

sed -i "1i %NProcShared=$SLURM_CPUS_PER_TASK\n%Mem=$SLURM_MEM_PER_NODEMB" input.com gaussian 16 linux

export GAUSS_PDEF=$SLURM_NTASKS export GAUSS_MDEF=60GB

This script divides a 128-core node into 4 independent jobs, each using 32 cores on its own dedicated partition. Gaussian 16 on Linux represents the intersection of

Allocate at least 2 GB to 4 GB of RAM per CPU core for standard Density Functional Theory (DFT) calculations. For post-Hartree-Fock methods (e.g., MP2, CCSD(T)), scale this up to 8 GB–16 GB per core.

Gaussian 16 on Linux represents the intersection of advanced chemical theory and high-tier systems engineering. For the computational chemist, the Linux version is not just a preference but a necessity for stability and speed. It provides the raw power required to transform theoretical equations into predictable, visualizable chemical insights. Bash template to help you automate your Gaussian 16 job submissions? Bash template to help you automate your Gaussian

rm -rf $GAUSS_SCRDIR

g16 < input.com > output.log

First, decide on an installation directory. A common practice is to install in /usr/local/ . Log in as a user with sudo privileges and create the directory: