article Open AccessTop 10% cited
Building Force Fields: An Automatic, Systematic, and Reproducible Approach
The Journal of Physical Chemistry Letters · 2014 · Vol. 5(11) · pp. 1885–1891
Lee‐Ping Wang✉(Stanford University)Todd J. Martı́nez(Stanford University)Vijay S. Pande(Stanford University)
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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References
33
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