Literature DB >> 15740308

Fast centroid molecular dynamics: a force-matching approach for the predetermination of the effective centroid forces.

Tyler D Hone1, Sergei Izvekov, Gregory A Voth.   

Abstract

A fast centroid molecular dynamics (CMD) methodology is proposed in which the effective centroid forces are predetermined through a force-matching algorithm applied to a standard path integral molecular dynamics simulation. The resulting method greatly reduces the computational cost of generating centroid trajectories, thus extending the applicability of CMD. The method is applied to the study of liquid para-hydrogen at two state points and liquid ortho-deuterium at one state point. The static and dynamical results are compared to those obtained from full adiabatic CMD simulations and found to be in excellent agreement for all three systems; the transport properties are also compared to experiment and found to have a similar level of agreement.

Entities:  

Year:  2005        PMID: 15740308     DOI: 10.1063/1.1836731

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  5 in total

1.  CAMELOT: A machine learning approach for coarse-grained simulations of aggregation of block-copolymeric protein sequences.

Authors:  Kiersten M Ruff; Tyler S Harmon; Rohit V Pappu
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

2.  Centroid Molecular Dynamics Can Be Greatly Accelerated through Neural Network Learned Centroid Forces Derived from Path Integral Molecular Dynamics.

Authors:  Timothy D Loose; Patrick G Sahrmann; Gregory A Voth
Journal:  J Chem Theory Comput       Date:  2022-09-14       Impact factor: 6.578

3.  Coarse-Grained Molecular Models of Water: A Review.

Authors:  Kevin R Hadley; Clare McCabe
Journal:  Mol Simul       Date:  2012-07-04       Impact factor: 2.178

4.  The strengths and limitations of effective centroid force models explored by studying isotopic effects in liquid water.

Authors:  Ying Yuan; Jicun Li; Xin-Zheng Li; Feng Wang
Journal:  J Chem Phys       Date:  2018-05-14       Impact factor: 3.488

5.  Force-field functor theory: classical force-fields which reproduce equilibrium quantum distributions.

Authors:  Ryan Babbush; John Parkhill; Alán Aspuru-Guzik
Journal:  Front Chem       Date:  2013-10-25       Impact factor: 5.221

  5 in total

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