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M-Chem: a Modular Software Package for Molecular Simulation that Spans Scientific Domains.
Witek, Jagna; Heindel, Joseph P; Guan, Xingyi; Leven, Itai; Hao, Hongxia; Naullage, Pavithra; LaCour, Allen; Sami, Selim; Menger, M F S J; Cofer-Shabica, D Vale; Berquist, Eric; Faraji, Shirin; Epifanovsky, Evgeny; Head-Gordon, Teresa.
  • Witek J; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • Heindel JP; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • Guan X; Chemical Sciences Division, Lawrence Berkeley National Laboratory.
  • Leven I; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • Hao H; Chemical Sciences Division, Lawrence Berkeley National Laboratory.
  • Naullage P; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • LaCour A; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • Sami S; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • Menger MFSJ; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • Cofer-Shabica DV; Chemical Sciences Division, Lawrence Berkeley National Laboratory.
  • Berquist E; Kenneth S. Pitzer Theory Center and Department of Chemistry.
  • Faraji S; Stratingh Institute for Chemistry, University of Groningen, 9747 AG Groningen, The Netherlands.
  • Epifanovsky E; Department of Chemistry, University of Pennsylvania, Philadelphia, PA, 19128 USA.
  • Head-Gordon T; Q-Chem, Inc., 6601 Owens Drive, Suite 105, Pleasanton, California 94588, USA.
Mol Phys ; 121(9-10)2023.
Article en En | MEDLINE | ID: mdl-37470065
ABSTRACT
We present a new software package called M-Chem that is designed from scratch in C++ and parallelized on shared-memory multi-core architectures to facilitate efficient molecular simulations. Currently, M-Chem is a fast molecular dynamics (MD) engine that supports the evaluation of energies and forces from two-body to many-body all-atom potentials, reactive force fields, coarse-grained models, combined quantum mechanics molecular mechanics (QM/MM) models, and external force drivers from machine learning, augmented by algorithms that are focused on gains in computational simulation times. M-Chem also includes a range of standard simulation capabilities including thermostats, barostats, multi-timestepping, and periodic cells, as well as newer methods such as fast extended Lagrangians and high quality electrostatic potential generation. At present M-Chem is a developer friendly environment in which we encourage new software contributors from diverse fields to build their algorithms, models, and methods in our modular framework. The long-term objective of M-Chem is to create an interdisciplinary platform for computational methods with applications ranging from biomolecular simulations, reactive chemistry, to materials research.