Gaussian 16 Revision C.01 |link| -

A powerful new option allows for recomputing force constants every

: Use mixed basis sets (e.g., ONIOM or effective core potentials like LanL2DZ for heavy metals, and 6-31G(d) for light atoms) to keep computational costs manageable. To help tailor this guide further, let me know:

While Gaussian 16 supports GPU acceleration (NVIDIA Tesla and Ampere architectures) for specific calculations like HF and DFT energies/gradients, users should verify compatibility metrics. Revision C.01 maintains support for NVIDIA CUDA, though certain post-Hartree-Fock methods (like MP2 or CCSD) still rely purely on CPU architectures. Best Practices for Upgrading and Installation

The default memory allocation is 800 MB, but users can request more using the gaussian 16 revision c.01

Additionally, the NEDA=n keyword was introduced to perform Natural Energy Decomposition Analysis, a method for quantifying intermolecular interactions. The analysis uses the same fragment definitions as counterpoise calculations for basis set superposition error (BSSE) correction, providing a unified workflow.

Gaussian 16 Revision C.01 is the latest version of the Gaussian software series, a widely used computational chemistry tool for predicting the properties and behavior of molecules. This software has been a staple in the field of quantum chemistry for decades, and its latest revision brings a host of new features, improvements, and capabilities. In this article, we will provide an in-depth review of Gaussian 16 Revision C.01, highlighting its key features, applications, and benefits.

Rev C added support for raw binary files using either 4- or 8-byte integers, making it easier to interface with programs written in C, C++, and Perl Python Integration: A new script, A powerful new option allows for recomputing force

Supports a vast array of functionals, including hybrid (B3LYP, PBE0), range-separated (M06-2X,

Gaussian 16 is a commercial software package developed by Gaussian, Inc. It is designed to perform a wide range of computational chemistry tasks, including:

: By pairing Volta's tensor-heavy framework with G16’s integral evaluation routines, users experience an order-of-magnitude reduction in time-to-solution for large-molecule ground state calculations. Network Parallelism with Linda 9.2 Best Practices for Upgrading and Installation The default

Native support for Apple silicon and Intel-based Mac hardware. GPU Acceleration Caution

Do not over-allocate memory beyond what the physical node possesses. For large DFT calculations, allocating roughly 2GB to 4GB of RAM per CPU core is a standard sweet spot (e.g., %mem=64GB for a 24-core job).

To execute a calculation in Gaussian 16 Rev C.01, users must construct an input file (typically ending in .gjf or .com ). Below is a template for a DFT geometry optimization and frequency calculation on a water molecule: