Machine Learning for Computational Heterogeneous Catalysis-Reference-Cited by-同舟云学术

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Machine Learning for Computational Heterogeneous Catalysis

Published:2019-06-18 Issue:16 Volume:11 Page:3581-3601
ISSN:1867-3880
Container-title:ChemCatChem
language:en
Short-container-title:ChemCatChem

Author:

Schlexer Lamoureux Philomena¹²,Winther Kirsten T.¹²,Garrido Torres Jose Antonio¹²,Streibel Verena¹²,Zhao Meng¹²,Bajdich Michal¹²,Abild‐Pedersen Frank¹²,Bligaard Thomas¹²

Affiliation:

1. SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory 2575 Sand Hill Road, Menlo Park California 94025 United States

2. Department of Chemical Engineering Stanford University 443 Via Ortega Stanford CA 94305 United States

Funder

Basic Energy Sciences

Publisher

Wiley

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Catalysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cctc.201900595

Reference180 articles.

1. Combining theory and experiment in electrocatalysis: Insights into materials design

2. Extracting Knowledge from Data through Catalysis Informatics

3. Chemometrics: Views and Propositions

4. Machine learning for molecular and materials science

5. Materials informatics

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