Accelerating discrete dislocation dynamics simulations with graph neural networks

DOI10.1016/j.jcp.2023.112180arXiv2208.03296OpenAlexW4366815234MaRDI QIDQ6158128

Fei Zhou, Nicolas Bertin

Publication date: 31 May 2023

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2208.03296

zbMATH Keywords

time-integrationmachine learningdislocation dynamicsgraph neural networks

Mathematics Subject Classification ID

Computer aspects of numerical algorithms (65Yxx) Generalities, axiomatics, foundations of continuum mechanics of solids (74Axx) Homogenization, determination of effective properties in solid mechanics (74Qxx)

Cites Work

• A FFT-based formulation for discrete dislocation dynamics in heterogeneous media
• A non-singular continuum theory of dislocations
• Homogenization method for a discrete-continuum simulation of dislocation dynamics

This page was built for publication: Accelerating discrete dislocation dynamics simulations with graph neural networks