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Sours, Tyler G., Kulkarni, Ambarish R. (2023) Predicting Structural Properties of Pure Silica Zeolites Using Deep Neural Network Potentials. The Journal of Physical Chemistry C, 127 (3) 1455-1463 doi:10.1021/acs.jpcc.2c08429

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Reference TypeJournal (article/letter/editorial)
TitlePredicting Structural Properties of Pure Silica Zeolites Using Deep Neural Network Potentials
JournalThe Journal of Physical Chemistry C
AuthorsSours, Tyler G.Author
Kulkarni, Ambarish R.Author
Year2023 (January 26)Volume127
Issue3
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jpcc.2c08429Search in ResearchGate
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Mindat Ref. ID15678933Long-form Identifiermindat:1:5:15678933:4
GUID0
Full ReferenceSours, Tyler G., Kulkarni, Ambarish R. (2023) Predicting Structural Properties of Pure Silica Zeolites Using Deep Neural Network Potentials. The Journal of Physical Chemistry C, 127 (3) 1455-1463 doi:10.1021/acs.jpcc.2c08429
Plain TextSours, Tyler G., Kulkarni, Ambarish R. (2023) Predicting Structural Properties of Pure Silica Zeolites Using Deep Neural Network Potentials. The Journal of Physical Chemistry C, 127 (3) 1455-1463 doi:10.1021/acs.jpcc.2c08429
In(2023, January) The Journal of Physical Chemistry C Vol. 127 (3) American Chemical Society (ACS)

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Sastre, German, Corma, Avelino (2010) Predicting Structural Feasibility of Silica and Germania Zeolites. The Journal of Physical Chemistry C, 114 (3). 1667-1673 doi:10.1021/jp909348s
Kulkarni, Ambarish R., Sholl, David S. (2016) Screening of Copper Open Metal Site MOFs for Olefin/Paraffin Separations Using DFT-Derived Force Fields. The Journal of Physical Chemistry C, 120 (40). 23044-23054 doi:10.1021/acs.jpcc.6b07493
Musielewicz, Joseph, Lan, Janice, Uyttendaele, Matt, Kitchin, John R. (2024) Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances. The Journal of Physical Chemistry C, 128 (49). doi:10.1021/acs.jpcc.4c04972
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