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Scheiber, H. O., Patey, G. N. (2022) Binary salt structure classification with convolutional neural networks: Application to crystal nucleation and melting point calculations. The Journal of Chemical Physics, 157 (20) 204108 doi:10.1063/5.0122274

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Reference TypeJournal (article/letter/editorial)
TitleBinary salt structure classification with convolutional neural networks: Application to crystal nucleation and melting point calculations
JournalThe Journal of Chemical Physics
AuthorsScheiber, H. O.Author
Patey, G. N.Author
Year2022 (November 28)Volume157
Issue20
PublisherAIP Publishing
DOIdoi:10.1063/5.0122274Search in ResearchGate
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Mindat Ref. ID15524105Long-form Identifiermindat:1:5:15524105:5
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Full ReferenceScheiber, H. O., Patey, G. N. (2022) Binary salt structure classification with convolutional neural networks: Application to crystal nucleation and melting point calculations. The Journal of Chemical Physics, 157 (20) 204108 doi:10.1063/5.0122274
Plain TextScheiber, H. O., Patey, G. N. (2022) Binary salt structure classification with convolutional neural networks: Application to crystal nucleation and melting point calculations. The Journal of Chemical Physics, 157 (20) 204108 doi:10.1063/5.0122274
In(2022, November) The Journal of Chemical Physics Vol. 157 (20) AIP Publishing

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