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Building Force Fields: An Automatic, Systematic, and Reproducible Approach

The Journal of Physical Chemistry Letters · 2014 · Vol. 5(11) · pp. 1885–1891
Lee‐Ping WangTodd J. Martı́nezVijay S. Pande

Abstract

The development of accurate molecular mechanics force fields is a significant challenge that must be addressed for the continued success of molecular simulation. We developed the ForceBalance method to automatically derive accurate force field parameters using flexible combinations of experimental and theoretical reference data. The method is demonstrated in the parametrization of two rigid water models, yielding new parameter sets (TIP3P-FB and TIP4P-FB) that accurately describe many physical properties of water.

Protein Structure and DynamicsMachine Learning in Materials ScienceQuantum, superfluid, helium dynamicsParametrization (atmospheric modeling)Force field (fiction)Water modelComputer scienceField (mathematics)Molecular dynamicsStatistical physicsPhysicsMathematicsChemistry
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623
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