# Coupling Finite Element Method with Large Scale Atomic/Molecular   Massively Parallel Simulator (LAMMPS) for Hierarchical Multiscale Simulations

**Authors:** Takahiro Murashima, Shingo Urata, and Shaofan Li

arXiv: 1902.09171 · 2019-09-17

## TL;DR

This paper presents a scalable multiscale simulation method coupling finite element analysis with LAMMPS molecular dynamics to accurately model complex material behaviors across scales.

## Contribution

It introduces a novel hierarchical multiscale algorithm that integrates finite element and molecular dynamics simulations for highly scalable parallel computations.

## Key findings

- Successfully simulated copper deformation with good agreement to established methods.
- Captured key polymer behaviors like double yield points, strain localization, and necking.
- Achieved near-ideal parallel scalability up to 100,000 processors.

## Abstract

In this work, we have developed a multiscale computational algorithm to couple finite element method with an open source molecular dynamics code --- the Large scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) --- to perform hierarchical multiscale simulations in highly scalable parallel computations. The algorithm was firstly verified by performing simulations of single crystal copper deformation, and a good agreement with the well-established method was confirmed. Then, we applied the multiscale method to simulate mechanical responses of a polymeric material composed of multi-million fine scale atoms inside the representative unit cells (r-cell) against uniaxial loading. It was observed that the method can successfully capture plastic deformation in the polymer at macroscale, and reproduces the double yield points typical in polymeric materials, strain localization and necking deformation after the second yield point. In addition, parallel scalability of the multiscale algorithm was examined up to around 100 thousand processors with 10 million particles, and an almost ideal strong scaling was achieved thanks to LAMMPS parallel architecture.

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/1902.09171/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/1902.09171/full.md

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Source: https://tomesphere.com/paper/1902.09171