Machine-Learning Methods Enable Exhaustive Searches for Active Bimetallic Facets and Reveal Active Site Motifs for CO2 Reduction
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| Description | scholarly article by Zachary W. Ulissi et al published 31 August 2017 in ACS Catalysis |
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author: Nathan S. Lewis Jens Kehlet Nørskov |
| Publication date | August 31, 2017 |
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