Gaussian 16 Revision C.01 !!exclusive!! ❲100% RECENT❳
| Method plus Basis Set | Rev B.01 Time (min) | Rev C.01 Time (min) | Speedup | |-----------------------|---------------------|---------------------|---------| | B3LYP-D3/def2-TZVP | 124 | 112 | 11% | | ωB97X-V/def2-TZVPPD | 312 | 278 | 12% | | RI-MP2/cc-pVTZ | 445 | 331 | 34% | | CCSD(T)/cc-pVDZ | 1,520 | 1,408 | 8% |
Key takeaways:
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.
Dynamic memory allocation errors ( %Mem ) are a frequent headache for computational chemists. Rev. C.01 patches minor memory leaks associated with high-angular-momentum basis functions (such as gaussian 16 revision c.01
Be aware that Gaussian 16 uses UltraFine as the default DFT grid and an integral accuracy of 10^-12 , which are higher than previous generations like Gaussian 09. If you are setting up a new workflow, I can help you: Identify the correct GPU hardware for your budget
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).
: The Self-Consistent Field (SCF) cycle failed to find an electronic energy minimum. | Method plus Basis Set | Rev B
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This guide provides a basic overview of Gaussian 16 Revision C.01. For more detailed information and specific instructions, refer to the official documentation and online resources. Happy calculating!
: It supports advanced vertical excitation energy and excited-state geometry optimization, often utilized with functionals like PBE0 and empirical dispersion corrections (GD3). Parallel Computing : Requires the Linda message passing library for parallel execution across clusters. Known Limitations & Technical Notes Cubegen Performance : In Revision C.01, the Dynamic memory allocation errors ( %Mem ) are
RIMP2 on large supramolecular complex 0 1 [coordinates]
: 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