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Manuscript title: Fast evaluation of the adsorption energy of organic molecules on metals via graph neural networks

DOI: 10.1038/s43588-023-00437-y

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DC FieldValueLanguage
dc.contributor.authorMorandi, Santiago-
dc.date.accessioned2022-10-11T10:43:17Z-
dc.date.available2023-05-02T07:08:58Z-
dc.date.created2022-10-11T12:43:16.04+02:00-
dc.date.issued2022-10-11T12:43:16.04+02:00-
dc.identifier.urihttps://iochem-bd.iciq.es/browse/handle/100/46284-
dc.descriptionmol5-
dc.publisherInstitute of Chemical Research of Catalonia-
dc.relationOriginal title: Fast evaluation of the adsorption energy of organic molecules on metals via graph neural networks DOI: 10.1038/s43588-023-00437-y*
dc.relation.urihttp://dx.doi.org/10.1038/s43588-023-00437-y*
dc.rightsCC BY 4.0 (c) Institute of Chemical Research of Catalonia, 2022-
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.title/BM_dataset/biomass/ni mol5-
dc.typedataset-
dc.date.updated2022-10-11T10:43:17Z-
cml.program.namevaspen
cml.program.version5.4.4en
cml.program.other18Apr17-6-g9f103f2a35 (build Jun 30 2017 19:19:18) complexen
cml.methodDFTen
cml.shelltypeOpen shellen
cml.energy.value-593.31592192en
cml.energy.unitseVen
cml.formula.genericC10H14Ni84O3en
cml.calculationtypeGeometry optimizationen
cml.hassolventfalseen
cml.hasvibrationalfrequenciesfalseen
cml.numberofjobs1en
cml.hasmolecularorbitalsfalseen
Appears in Collections:FG-dataset (DFT) - DOI: 10.19061/iochem-bd-1-257



Please use this identifier to cite or link to this item: https://iochem-bd.iciq.es/browse/handle/100/46284

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