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ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2497036672

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

About this item

Full title

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

With massive amounts of atomic simulation data available, there is a huge opportunity to develop fast and accurate machine learning models to approximate expensive physics-based calculations. The key quantity to estimate is atomic forces, where the state-of-the-art Graph Neural Networks (GNNs) explicitly enforce basic physical constraints such as r...

Alternative Titles

Full title

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2497036672

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2497036672

Other Identifiers

E-ISSN

2331-8422

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