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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.
Metadata:
| Title: | ol-AuZn-2202 |
| 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: ol-AuZn-2202. Legend on Nat. Commun. 2018, 9, 526. |
| URI: | https://iochem-bd.iciq.es/browse/handle/100/18552 |
| 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/100/18552
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