A Concurrent Multiscale Framework Coupling Direct Simulation Monte Carlo and Molecular Dynamics
Tim Linke, Dane Sterbentz, Niels Gr{\o}nbech-Jensen, Jean-Pierre Delplanque, Jonathan Belof

TL;DR
This paper introduces a novel multiscale coupling framework that integrates DSMC and MD simulations, enabling accurate and efficient modeling of complex flow phenomena across different scales.
Contribution
It generalizes previous coupling methods with a cell-based decision approach and provides operators for translating scales between DSMC and MD.
Findings
Framework verified on conservation laws
Demonstrated on hypersonic flow example
Discussed accuracy improvements over conventional DSMC
Abstract
We present a new method to couple the Direct Simulation Monte Carlo (DSMC) algorithm with molecular dynamics (MD). The coupling approach generalizes prior coupling methods using a cell-based decision. The approach is supported by a lifting and restricting operator, which translate length and time scales between DSMC and MD. We verify the framework on basic conservation laws, and demonstrate its usability on a hypersonic flow example. Its accuracy gain is discussed in light of conventional DSMC simulations. Advantages and limitations are discussed, and additional use cases are highlighted.
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Taxonomy
TopicsMachine Learning in Materials Science · Catalysis and Oxidation Reactions · Hydrocarbon exploration and reservoir analysis
