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Single‐pass incremental force updates for adaptively restrained molecular dynamics
Author(s) -
Singh Krishna Kant,
Redon Stephane
Publication year - 2018
Publication title -
journal of computational chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.907
H-Index - 188
eISSN - 1096-987X
pISSN - 0192-8651
DOI - 10.1002/jcc.25126
Subject(s) - speedup , computer science , molecular dynamics , algorithm , convergence (economics) , observable , dynamics (music) , parallel computing , physics , quantum mechanics , acoustics , economics , economic growth
Adaptively restrained molecular dynamics (ARMD) allows users to perform more integration steps in wall‐clock time by switching on and off positional degrees of freedoms. This article presents new, single‐pass incremental force updates algorithms to efficiently simulate a system using ARMD. We assessed different algorithms for speedup measurements and implemented them in the LAMMPS MD package. We validated the single‐pass incremental force update algorithm on four different benchmarks using diverse pair potentials. The proposed algorithm allows us to perform simulation of a system faster than traditional MD in both NVE and NVT ensembles. Moreover, ARMD using the new single‐pass algorithm speeds up the convergence of observables in wall‐clock time. © 2017 Wiley Periodicals, Inc.