scholarly journals Machine-Learning Methods Enable Exhaustive Searches for Active Bimetallic Facets and Reveal Active Site Motifs for CO2 Reduction

ACS Catalysis ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. 6600-6608 ◽  
Author(s):  
Zachary W. Ulissi ◽  
Michael T. Tang ◽  
Jianping Xiao ◽  
Xinyan Liu ◽  
Daniel A. Torelli ◽  
...  
Keyword(s):  
Machine Learning ◽  
Active Site ◽  
Co2 Reduction ◽  
Learning Methods ◽  
Machine Learning Methods
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