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For: Lamoureux PS, Choksi TS, Streibel V, Abild-Pedersen F. Combining artificial intelligence and physics-based modeling to directly assess atomic site stabilities: from sub-nanometer clusters to extended surfaces. Phys Chem Chem Phys 2021;23:22022-22034. [PMID: 34570139 DOI: 10.1039/d1cp02198b] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Number Cited by Other Article(s)
1
Liu CY, Senftle TP. Finding physical insights in catalysis with machine learning. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2022.100832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
2
Prabhu AM, Choksi TS. Data-driven methods to predict the stability metrics of catalytic nanoparticles. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2022.100797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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