Literature DB >> 31212446

Application of atomic stress to compute heat flux via molecular dynamics for systems with many-body interactions.

Donatas Surblys1, Hiroki Matsubara1, Gota Kikugawa1, Taku Ohara1.   

Abstract

Although the computation of heat flux and thermal conductivity either via Fourier's law or the Green-Kubo relation has become a common task in molecular dynamics simulation, contributions of three-body and larger many-body interactions have always proved problematic to compute. In recent years, due to the success when applying to pressure tensor computation, atomic stress approximation has been widely used to calculate heat flux, where the lammps molecular dynamics package is the most prominent propagator. We demonstrated that the atomic stress approximation, while adequate for obtaining pressure, produces erroneous results in the case of heat flux when applied to systems with many-body interactions, such as angle, torsion, or improper potentials. This also produces incorrect thermal conductivity values. To remedy this deficiency, by starting from a strict formulation of heat flux with many-body interactions, we reworked the atomic stress definition which resulted in only a simple modification. We modified the lammps package accordingly to demonstrate that the new atomic stress approximation produces excellent results close to that of a rigid formulation.

Year:  2019        PMID: 31212446     DOI: 10.1103/PhysRevE.99.051301

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  2 in total

1.  Thermal Conductivity of Polyisoprene and Polybutadiene from Molecular Dynamics Simulations and Transient Measurements.

Authors:  Aleksandr Vasilev; Tommy Lorenz; Cornelia Breitkopf
Journal:  Polymers (Basel)       Date:  2020-05-09       Impact factor: 4.329

2.  Atomic-level breakdown of Green-Kubo relations provides new insight into the mechanisms of thermal conduction.

Authors:  Likhith Manjunatha; Hiroshi Takamatsu; James J Cannon
Journal:  Sci Rep       Date:  2021-03-10       Impact factor: 4.379

  2 in total

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