Machine learning-based screening of Mn-PNP catalysts for the CO2 reduction reaction using a region-wise ligand-encoded feature matrix
Author:
Affiliation:
1. Department of Chemistry, Indian Institute of Technology Indore, Indore 453552, India
2. SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025, USA
Abstract
Funder
Science and Engineering Research Board
Council of Scientific and Industrial Research, India
Board of Research in Nuclear Sciences
Publisher
Royal Society of Chemistry (RSC)
Link
http://pubs.rsc.org/en/content/articlepdf/2024/YA/D3YA00520H
Reference52 articles.
1. CO2 Reduction: From Homogeneous to Heterogeneous Electrocatalysis
2. Electrocatalytic and homogeneous approaches to conversion of CO2to liquid fuels
3. Homogeneous and heterogeneous catalysts for hydrogenation of CO2 to methanol under mild conditions
4. Unraveling the catalytically preferential pathway between the direct and indirect hydrogenation of CO2 to CH3OH using N-heterocyclic carbene-based Mn(i) catalysts: a theoretical approach
5. Aspects of carbon dioxide utilization
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