A multi-layered approach that allows high-level QM calculations on an active site while treating the rest of the environment with molecular mechanics (MM).
Resolved convergence issues when using the Polarizable Continuum Model (PCM) with highly charged or irregular molecular structures.
Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Petersson, G. A.; Nakatsuji, H. et al. , Gaussian, Inc., Wallingford CT, 2016. 2 requirements for this revision? Citation - Gaussian.com
Among these updates, stands out as a critical maintenance and optimization release. This article explores the core features, performance enhancements, bug fixes, and practical applications of Gaussian 16 Rev. C.01 in modern computational chemistry. Evolution of the Gaussian Suite gaussian 16 revision c.01
: Significant improvements were made to parallel performance on systems with large numbers of processors.
: Resolves minor numerical instabilities in analytical second derivatives for specific DFT functionals.
Gaussian 16 Revision C.01 represents a peak of maturity for the Gaussian 16 software family. By focusing heavily on code optimization, eliminating structural bugs in solvent and ONIOM modeling, and improving hardware scaling, this revision ensures that computational chemistry data remains reproducible, accurate, and rapidly obtainable. For laboratories requiring a dependable computational workbench for complex molecular modeling, Revision C.01 remains an exceptional, industry-proven deployment. : Calculating NMR
: Calculating NMR, IR, Raman, UV/Vis, and photoelectron spectra .
Whether you are studying small organic molecules or large protein-ligand complexes, Revision C.01 provides the robust toolset necessary for modern computational workflows. Key Enhancements in Revision C.01
Always specify memory and core allocations at the very top of your input deck: and improving hardware scaling
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:
You will see papers citing:
Gaussian predicts the energies, molecular structures, vibrational frequencies, and numerous molecular properties of systems in the gas phase and in solution. Moving from Gaussian 09 to Gaussian 16 introduced massive scaling improvements, particularly for large molecules and TD-DFT frequency calculations. Revision C.01 builds directly upon this foundation, ensuring that the underlying algorithms run flawlessly across highly parallelized modern computing clusters. Key Technical Enhancements in Revision C.01