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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| Published in: | Journal of chemical theory and computation Vol. 20; no. 11; p. 4857 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
11.06.2024
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| ISSN: | 1549-9626, 1549-9626 |
| Online Access: | Get more information |
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