Gaussian 16 Linux < Free Forever >

Navigate to your desired installation directory (e.g., /usr/local or /opt ) and extract the source package.

cd /usr/local sudo tar -xvf /path/to/g16-binary.tar.gz sudo chown -R root:g16users g16 sudo chmod -R 750 g16 Use code with caution. 3. Configure the Scratch Directory

SMP uses multiple CPU cores within a single motherboard node, sharing the same physical pool of RAM. This is configured directly inside the Gaussian input file ( .gjf or .com ) using Link 0 commands: %NProcShared=16 %Mem=32GB #P B3LYP/6-311+G(d,p) Opt Freq Use code with caution. Directs G16 to utilize 16 CPU threads. gaussian 16 linux

Gaussian 16 is the flagship software package for electronic structure modeling, used by thousands of academic and industrial research groups worldwide. While Gaussian supports Windows and macOS, its true potential is unleashed on Linux — the operating system of choice for high-performance computing (HPC) clusters, workstations, and cloud servers.

Whether running on a single workstation with multiple cores or a large-scale cluster (MPI), G16 scales effectively. Navigate to your desired installation directory (e

Create the scratch directory and set the appropriate permissions:

Run the calculation in the background using the following command syntax: g16 < test_water.gjf > test_water.log & Use code with caution. Monitor the progress in real-time with tail : tail -f test_water.log Use code with caution. Configure the Scratch Directory SMP uses multiple CPU

What (DFT, excited states, etc.) are you planning to run? Do you use a job scheduler like SLURM or PBS? Share public link