Gaussian 16 Revision C.01 -

The C.01 revision of Gaussian 16 introduces several new features and improvements, including:

: Leave 10–15% of total system memory for the operating system to prevent kernel panics.

Revision C.01 expanded GPU support to include NVIDIA V100 (Volta architecture) cards, building upon previous support for K40, K80, and P100 cards introduced in Rev. B.01. For Linux systems, the x86_64 AVX-enabled binary version includes GPU support for NVIDIA K40, K80, P100, and V100 boards with 12 GB of memory or higher, requiring NVIDIA drivers compatible with CUDA 10.0.

AMBER, EFF, and UFF force fields for hybrid QM/MM modeling.

Understanding Gaussian 16 Revision C.01: Features, Enhancements, and Performance gaussian 16 revision c.01

: Optimized for x86_64 architectures (Red Hat Enterprise Linux, CentOS, Ubuntu).

Geometry optimizations (including TS searches) in C.01 are more robust, allowing researchers to study transition states, intermediates, and products with greater confidence, particularly when dealing with complex, flexible potential energy surfaces. 4. Advanced Property Calculations

: Restricted, unrestricted, and restricted open-shell variants for foundational electronic structure calculations.

Other notable additions include the PM7 semi-empirical method, the Ciofini excited state charge transfer diagnostic via Pop=DCT , and the Caricato EOMCC solvation interaction models via SCRF=PTED . These additions make Gaussian 16 Rev. C.01 an even more versatile tool for studying a broad range of chemical phenomena, from ground-state structures to excited-state dynamics. For Linux systems, the x86_64 AVX-enabled binary version

%Opt=Loose %NProcShared=4 %Mem=8GB %Chk=water_opt.chk # opt freq B3LYP/6-311+G(d,p) Emp=GD3BJ Geometry optimization of a water molecule 0 1 O 0.00000000 0.00000000 0.11779000 H 0.00000000 0.75545300 -0.47116100 H 0.00000000 -0.75545300 -0.47116100 Use code with caution. 6. Troubleshooting Common Errors

Below is a standard template for a geometry optimization and frequency calculation using the B3LYP functional with dispersion corrections in Gaussian 16 Rev C.01:

Performance optimization was a central focus of Revision C.01, with improvements spanning both CPU and GPU architectures.

What (organic, transition metals, polymers) are you studying? Do you need help with GPU acceleration setup ? Share public link Geometry optimizations (including TS searches) in C

Support for a vast library of functionals, including hybrid (B3LYP, PBE0), range-separated (wB97XD, CAM-B3LYP), and double-hybrid (B2PLYP) functionals. Empirical dispersion corrections (Grimme's GD3 and GD3BJ). High-Accuracy Methods

is a significant incremental update to the flagship electronic structure modeling suite, primarily focused on expanding high-performance computing (HPC) capabilities and refining data management for large-scale calculations. Key Performance & Hardware Enhancements

Understanding the system requirements for Gaussian 16 Rev. C.01 is essential for successful deployment. The revision requires for network parallel use; earlier versions of Linda are incompatible, so upgrading from Rev. A.03 or B.01 with Linda requires updating to Linda 9.2.

Revision C.01 focuses heavily on maximizing hardware efficiency across modern computing architectures.