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Relative Resolution: A Computationally Efficient Implementation in LAMMPS
Journal article   Open access   Peer reviewed

Relative Resolution: A Computationally Efficient Implementation in LAMMPS

Mark Chaimovich and Aviel Chaimovich
Journal of chemical theory and computation, v 17(2), pp 1045-1059
09 Feb 2021
PMID: 33512166
url
https://arxiv.org/abs/2104.10231View

Abstract

Chemistry Chemistry, Physical Physical Sciences Physics Physics, Atomic, Molecular & Chemical Science & Technology
Recently, a novel type of multiscale simulation, called Relative Resolution (RelRes), was introduced. In a single system, molecules switch their resolution in terms of their relative separation, with near neighbors interacting via fine-grained potentials yet far neighbors interacting via coarse-grained potentials; notably, these two potentials are analytically parametrized by a multipole approximation. This multiscale approach is consequently able to correctly retrieve across state space the structural and thermal, as well as static and dynamic, behavior of various nonpolar mixtures. Our current work focuses on the practical implementation of RelRes in LAMMPS, specifically for the commonly used LennardJones potential. By examining various correlations and properties of several alkane liquids, including complex solutions of alternate cooligomers and block copolymers, we confirm the validity of this automated LAMMPS algorithm. Most importantly, we demonstrate that this RelRes implementation gains almost an order of magnitude in computational efficiency, as compared with conventional simulations. We thus recommend this novel LAMMPS algorithm for anyone studying systems governed by LennardJones interactions.

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9 citations in Scopus

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Web of Science research areas
Chemistry, Physical
Physics, Atomic, Molecular & Chemical
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