Gaussian 16 量子化學軟體

當前版本 : Gaussian 16 Rev. A.03

一 . Gaussian 16 特色更新 :

New Modeling Capabilities

  • TD-DFT analytic second derivatives for predicting vibrational frequencies/IR and Raman spectra and performing transition state optimizations and IRC calculations for excited states.
  • EOMCC analytic gradients for performing geometry optimizations.
  • Anharmonic vibrational analysis for VCD and ROA spectra: see Freq=Anharmonic.
  • Vibronic spectra and intensities: see Freq=FCHT and related options.
  • Resonance Raman spectra: see Freq=ReadFCHT.
  • New DFT functionals: M08 family, MN15, MN15L.
  • New double-hybrid methods: DSDPBEP86, PBE0DH and PBEQIDH.
  • PM7 semi-empirical method.
  • Adamo excited state charge transfer diagnostic: see Pop=DCT.
  • The EOMCC solvation interaction models of Caricato: see SCRF=PTED.
  • Generalized internal coordinates, a facility which allows arbitrary redundant internal coordinates to be defined and used for optimization constraints and other purposes. See Geom=GIC and GIC Info.

Performance Enhancements

  • NVIDIA K40 and K80 GPUs are supported under Linux for Hartree-Fock and DFT calculations. See the Using GPUs tab for details.
  • Parallel performance on larger numbers of processors has been improved. See the Parallel Performance tab for information about how to get optimal performance on multiple CPUs and clusters.
  • Gaussian 16 uses an optimized memory algorithm to avoid I/O during CCSD iterations.
  • There are several enhancements to the GEDIIS optimization algorithm.
  • CASSCF improvements for active spaces ≥ (10,10) increase performance and make active spaces of up to 16 orbitals feasible (depending on the molecular system).
  • Significant speedup of the core correlation energies for W1 compound model.
  • Gaussian 16 incorporates algorithmic improvements for significant speedup of the diagonal, second-order self-energy approximation (D2) component of composite electron propagator (CEP) methods as described in [DiazTinoco16]. See EPT.

二 . 相較於Gaussian 09 :

Calculation Defaults

  • Integral accuracy is 10-12 rather than 10-10 in Gaussian 09.
  • The default DFT grid for general use is UltraFine rather than FineGrid in G09; the default grid for CPHF is SG1 rather than CoarseGrid. See the discussion of the Integral keyword for details.
  • SCRF defaults to the symmetric form of IEFPCM [Lipparini10] (not present in Gaussian 09) rather than the non-symmetric version.
  • Physical constants use the 2010 values rather than the 2006 values in Gaussian 09.

Default Memory Use

Gaussian 16 defaults memory usage to %Mem=100MW (800MB). Even larger values are appropriate for calculations on larger molecules and when using many processors; refer to the Parallel Jobs tab for details.

TD-DFT Frequencies

TDDFT frequency calculations compute second derivatives analytically by default, since these are much faster than the numerical derivatives (the only choice in Gaussian 09).

 

三 . GPU加速的運用

在Linux的作業系統環境下Gaussian 16目前能夠使用Nvidia K40和K80的GPUs來進行運算。

較早期的GPU則未有足夠的運算能力及記憶體滿足執行Gaussian 16的運算 ,且Gaussian 16也尚未支援 Tesla-Pascal 系列的GPU。

 

四 . 平行版網路計算

Gaussian多機版產權配合TCP-LINDA 9軟體執行環境,G09可用於叢集分散式計算系統環境,採跨節點網路計算,拓展計量化學的可能性。