Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations

Message-passing graph neural network interatomic potentials (GNN-IPs), particularly those with equivariant representations such as NequIP, are attracting significant attention due to their data efficiency and high accuracy. However, parallelizing GNN-IPs poses challenges because multiple message-pas...

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Bibliographic Details
Published in:Journal of chemical theory and computation Vol. 20; no. 11; p. 4857
Main Authors: Park, Yutack, Kim, Jaesun, Hwang, Seungwoo, Han, Seungwu
Format: Journal Article
Language:English
Published: United States 11.06.2024
ISSN:1549-9626, 1549-9626
Online Access:Get more information
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