ACE-Molecule

ACE-Molecule performs quantum-chemical calculations on molecular systems using a real-space numerical grid to support density functional theory and wave-function theory analyses.


Key Features:

  • Real-space numerical grid: Employs a uniform real-space numerical grid discretized with Lagrange-sinc functions for accurate spatial representation.
  • Periodic and non-periodic systems: Supports calculations for both periodic and non-periodic molecular systems.
  • Density Functional Theory (DFT): Implements DFT, including hybrid DFT that combines exchange-correlation functionals with exact exchange potentials.
  • Kohn–Sham exact exchange: Derives exact exchange potentials from Kohn–Sham orbitals for use in hybrid DFT calculations.
  • Wave-function theory: Performs wave-function theory calculations using strictly localized exact exchange potentials to enhance precision.

Scientific Applications:

  • Molecular electronic-structure analysis: Analysis of electronic structure in molecules for chemistry and materials-science investigations.
  • Hybrid DFT studies: Exploration of chemical phenomena that require hybrid DFT accuracy through inclusion of exact exchange.
  • Wave-function investigations: Detailed wave-function–based studies of molecular interactions and properties using localized exact exchange.

Methodology:

Uses a uniform real-space numerical grid discretized with Lagrange-sinc functions; applies density functional theory including hybrid DFT with exact exchange derived from Kohn–Sham orbitals; and performs wave-function theory calculations employing strictly localized exact exchange potentials for both periodic and non-periodic systems.

Topics

Details

License:
GPL-3.0
Programming Languages:
C++
Added:
1/18/2021
Last Updated:
1/19/2021

Operations

Publications

Kang S, Woo J, Kim J, Kim H, Kim Y, Lim J, Choi S, Kim WY. ACE-Molecule: An open-source real-space quantum chemistry package. The Journal of Chemical Physics. 2020;152(12). doi:10.1063/5.0002959. PMID:32241122.

PMID: 32241122
Funding: - National Research Foundation of Korea: NRF-2018R1D1A1B07049981 - Samsung Science and Technology Foundation: SSTF-BA1602-08

Documentation

Links