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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

Metadata:

Title: Ag-2223
Authors: García Muelas, Rodrigo
Keywords: Principal Component Analysis
Ruthenium
Copper
Palladium
Water
Cadmium
Ethanol
Platinum
Reforming
Methanol
Scaling
Gold
Biomass
Zinc
Osmium
Nickel
Hydrogen
Adsorption
Iridium
Ethylene glycol
Silver
Microkinetic
Rhodium
Issue Date: 21-Jun-2017
Publisher: Institute of Chemical Research of Catalonia
Description: HOCCHO* on Ag
URI: https://iochem-bd.iciq.es/browse/handle/100/4219
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/100/4219

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