Learning the dynamics of particle-based systems with Lagrangian graph neural networks
Learning the dynamics of particle-based systems with Lagrangian graph neural networks
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Publisher
Bristol: IOP Publishing
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Language
English
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Bristol: IOP Publishing
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Contents
Physical systems are commonly represented as a combination of particles, the individual dynamics of which govern the system dynamics. However, traditional approaches require the knowledge of several abstract quantities such as the energy or force to infer the dynamics of these particles. Here, we present a framework, namely, Lagrangian graph neural...
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Full title
Learning the dynamics of particle-based systems with Lagrangian graph neural networks
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TN_cdi_crossref_citationtrail_10_1088_2632_2153_acb03e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_citationtrail_10_1088_2632_2153_acb03e
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ISSN
2632-2153
E-ISSN
2632-2153
DOI
10.1088/2632-2153/acb03e
