Actions:

View dataDownload geometry
Files in This Item:
File Description Size 
INCAR1.39 kBDownload
output.cml93.9 kBDownload
Referenced by:

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: sa-AuZn-2415
Authors: García Muelas, Rodrigo
Institute of Chemical Research of Catalonia
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
Related to: 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
Description: Validation set for Alloy: sa-AuZn-2415. Legend on Nat. Commun. 2018, 9, 526.
URI: https://www.iochem-bd.org//handle/10/215700
Appears in Collections:Statistical learning goes beyond the d-band model providing the thermochemistry of adsorbates on transition metals



Please use this identifier to cite or link to this item: https://www.iochem-bd.org//handle/10/215700

Item files in Find  Creative Commons License
HTML5 resume (see conditions inside)Creative Commons License