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Diabat method for polymorph free energies: Extension to molecular crystals.
Kamat, Kartik; Guo, Rui; Reutzel-Edens, Susan M; Price, Sarah L; Peters, Baron.
Afiliação
  • Kamat K; Department of Chemical Engineering, University of California-Santa Barbara, Santa Barbara, California 93106, USA.
  • Guo R; Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom.
  • Reutzel-Edens SM; Small Molecule Design and Development, Eli Lilly and Company, Indianapolis, Indiana 46285, USA.
  • Price SL; Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom.
  • Peters B; Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
J Chem Phys ; 153(24): 244105, 2020 Dec 28.
Article em En | MEDLINE | ID: mdl-33380078
ABSTRACT
Lattice-switch Monte Carlo and the related diabat methods have emerged as efficient and accurate ways to compute free energy differences between polymorphs. In this work, we introduce a one-to-one mapping from the reference positions and displacements in one molecular crystal to the positions and displacements in another. Two features of the mapping facilitate lattice-switch Monte Carlo and related diabat methods for computing polymorph free energy differences. First, the mapping is unitary so that its Jacobian does not complicate the free energy calculations. Second, the mapping is easily implemented for molecular crystals of arbitrary complexity. We demonstrate the mapping by computing free energy differences between polymorphs of benzene and carbamazepine. Free energy calculations for thermodynamic cycles, each involving three independently computed polymorph free energy differences, all return to the starting free energy with a high degree of precision. The calculations thus provide a force field independent validation of the method and allow us to estimate the precision of the individual free energy differences.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article