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Force Training Neural Network Potential Energy Surface Models

Force Training Neural Network Potential Energy Surface Models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2890143666

Force Training Neural Network Potential Energy Surface Models

About this item

Full title

Force Training Neural Network Potential Energy Surface Models

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Machine learned chemical potentials have shown great promise as alternatives to conventional computational chemistry methods to represent the potential energy of a given atomic or molecular system as a function of its geometry. However, such potentials are only as good as the data they are trained on, and building a comprehensive training set can b...

Alternative Titles

Full title

Force Training Neural Network Potential Energy Surface Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2890143666

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2890143666

Other Identifiers

E-ISSN

2331-8422

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