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Understanding the ML black box with simple descriptors to predict cluster–adsorbate interaction energy

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dc.contributor.author Agarwal, Sheena
dc.contributor.author Mehta, Shweta
dc.contributor.author Joshi, Kavita
dc.date.accessioned 2023-01-02T10:20:47Z
dc.date.available 2023-01-02T10:20:47Z
dc.date.issued 2023-01-02
dc.identifier.citation New J. Chem., 2020, 44, 8545 en
dc.identifier.uri http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/6186
dc.description.uri DOI: 10.1039/d0nj00633e en
dc.format.extent 9 p. en
dc.language.iso en_US en
dc.publisher Royal Society of Chemistry en
dc.subject Artificial Intelligence en
dc.subject Quantum Chemistry en
dc.subject Density Functional Theory en
dc.title Understanding the ML black box with simple descriptors to predict cluster–adsorbate interaction energy en
dc.type Article en
local.division.division Physical and Materials Chemistry Division en


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