Multiscale Simulation of Fluids: Coupling Molecular and Continuum

TL;DR

This paper reviews multiscale fluid simulation by coupling molecular dynamics and continuum methods, highlighting challenges, assumptions, and applications to improve accuracy and efficiency in scientific modeling.

Contribution

It provides a unified perspective on MD-CFD coupling techniques, discusses assumptions and errors, and emphasizes applications in fluid simulation.

Findings

Coupling MD and CFD enables multiscale fluid modeling.

Incorrect localization can cause errors in pressure and constraints.

The approach broadens simulation capabilities across scientific disciplines.

Abstract

Computer simulation is an important tool for scientific progress, especially when lab experiments are either extremely costly and difficult or lack the required resolution. However, all of the simulation methods come with limitations. In molecular dynamics (MD) simulation, the length and time scales that can be captured are limited, while computational fluid dynamics (CFD) methods are built on a range of assumptions, from the continuum hypothesis itself, to a variety of closure assumptions. To address these issues, the coupling of different methodologies provides a way to retain the best of both methods. Here, we provide a perspective on multiscale simulation based on the coupling of MD and CFD with each a distinct part of the simulation domain. This style of coupling allows molecular detail to be present only where it is needed, so CFD can model larger scales than possible with MD alone. We present a unified perspective of the literature, showing the links between state and flux coupling and discuss the various assumptions required for both. A unique challenge in such coupled simulation is obtaining averages and constraining local parts of a molecular simulation. We highlight that incorrect localisation has resulted in an error in the literature for both pressure tensor and coupling constraints. We then finish with some applications, focused on the simulation of fluids. Thus, we hope to motivate further research in this exciting area with applications across the spectrum of scientific disciplines.