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physical_validation: A Python package to assess the physical validity of molecular simulation results.
Merz, Pascal T; Hsu, Wei-Tse; Thompson, Matt W; Boothroyd, Simon; Walker, Chris C; Shirts, Michael R.
Afiliação
  • Merz PT; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States of America.
  • Hsu WT; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States of America.
  • Thompson MW; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States of America.
  • Boothroyd S; Boothroyd Scientific Consulting Ltd., 71-75 Shelton Street, London, United Kingdom.
  • Walker CC; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States of America.
  • Shirts MR; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, United States of America.
Article em En | MEDLINE | ID: mdl-36337282
ABSTRACT
Molecular simulations such as molecular dynamics (MD) and Monte Carlo (MC) simulations are powerful tools allowing the prediction of experimental observables in the study of systems such as proteins, membranes, and polymeric materials. The quality of predictions based on molecular simulations depend on the validity of the underlying physical assumptions. physical_validation allows users of molecular simulation programs to perform simple yet powerful tests of physical validity on their systems and setups. It can also be used by molecular simulation package developers to run representative test systems during development, increasing code correctness. The theoretical foundation of the physical validation tests were established by Merz & Shirts (2018), in which the physical_validation package was first mentioned.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Open Source Softw Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Open Source Softw Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos