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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: ss-PdCu-2225
Authors: García Muelas, Rodrigo
Keywords: Bilinear model
Alcohols
Transition Metals
Principal Component Regression
d-band center
Reduction potential
Bilinear regression
Principal Component Analysis
Sugar alcohols
Thermochemistry
Biomass upgrade
Issue Date: 12-Feb-2019
Publisher: Institute of Chemical Research of Catalonia
Description: Validation set for Alloy: ss-PdCu-2225. Legend on Nat. Commun. 2018, 9, 526.
URI: https://iochem-bd.iciq.es/browse/handle/100/18188
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/100/18188

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