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Single-pass incremental force updates for adaptively restrained molecular dynamics

Authors :
Stephane Redon
Krishna Kant Singh
Krishna kant Singh
Algorithms for Modeling and Simulation of Nanosystems (NANO-D)
Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK )
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Source :
Journal of Computational Chemistry, Journal of Computational Chemistry, Wiley, 2018, 39 (8), pp.412-423. ⟨10.1002/jcc.25126⟩, Journal of Computational Chemistry, 2018, 39 (8), pp.412-423. ⟨10.1002/jcc.25126⟩
Publication Year :
2017

Abstract

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.

Details

ISSN :
1096987X and 01928651
Volume :
39
Issue :
8
Database :
OpenAIRE
Journal :
Journal of computational chemistry
Accession number :
edsair.doi.dedup.....b92f6746e916fd1c321d064b1cc13e75
Full Text :
https://doi.org/10.1002/jcc.25126⟩