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Manuscript title: Statistical learning predicts the thermochemistry of adsorbed species on transition metals beyond the d-band model

Journal: Nat. Commun.

DOI: 10.1038/s41467-019-12709-1

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dc.contributor.authorGarcía Muelas, Rodrigo-
dc.date.accessioned2017-11-27T17:49:31Z-
dc.date.available2017-11-27T17:49:31Z-
dc.date.issued2017-11-27T17:49:31Z-
dc.identifier.urihttps://iochem-bd.iciq.es/browse/handle/100/6448-
dc.publisherInstitute of Chemical Research of Cataloniaen_US
dc.relationOriginal title: Statistical learning predicts the thermochemistry of adsorbed species on transition metals beyond the d-band model DOI: 10.1038/s41467-019-12709-1 Journal: Nat. Commun.*
dc.relation.urihttp://dx.doi.org/10.1038/s41467-019-12709-1*
dc.titlePotential energies for the adsorbed intermediates obtained from the Principal Component Regressionen_US
dc.typeDataseten_US
Appears in Collections:Statistical learning goes beyond the d-band model providing the thermochemistry of adsorbates on transition metals - DOI: 10.19061/iochem-bd-1-43



Please use this identifier to cite or link to this item: https://iochem-bd.iciq.es/browse/handle/100/6448

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