6533b830fe1ef96bd1296605
RESEARCH PRODUCT
Molecular dynamics simulations in hybrid particle-continuum schemes: Pitfalls and caveats
Peter VirnauLeonid YelashStefanie StalterMaria Lukacova-medvidovaMartin HankeAntonia StattNehzat Emamysubject
Computer scienceGeneral Physics and AstronomySolverCondensed Matter - Soft Condensed Matter01 natural sciencesThermostatBottleneck010305 fluids & plasmaslaw.invention010101 applied mathematicsMolecular dynamicsHardware and ArchitectureDiscontinuous Galerkin methodlaw0103 physical sciencesSoft matterStatistical physics0101 mathematicsShear flowHidden Markov modeldescription
Heterogeneous multiscale methods (HMM) combine molecular accuracy of particle-based simulations with the computational efficiency of continuum descriptions to model flow in soft matter liquids. In these schemes, molecular simulations typically pose a computational bottleneck, which we investigate in detail in this study. We find that it is preferable to simulate many small systems as opposed to a few large systems, and that a choice of a simple isokinetic thermostat is typically sufficient while thermostats such as Lowe-Andersen allow for simulations at elevated viscosity. We discuss suitable choices for time steps and finite-size effects which arise in the limit of very small simulation boxes. We also argue that if colloidal systems are considered as opposed to atomistic systems, the gap between microscopic and macroscopic simulations regarding time and length scales is significantly smaller. We also propose a novel reduced-order technique for the coupling to the macroscopic solver, which allows us to approximate a non-linear stress-strain relation efficiently and thus further reduce computational effort of microscopic simulations.
year | journal | country | edition | language |
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2017-06-19 |