<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Karmodak N</submitter><funding>Villum Fonden</funding><funding>Horizon 2020 Framework Programme</funding><pagination>4818-4824</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10057768</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(9)</volume><pubmed_abstract>Supported single atom catalysts on defected graphene show great potential for electrochemical reduction of CO&lt;sub>2&lt;/sub> to CO. In this study, we perform a computational screening of single and di-atom catalysts (MNCs and FeMNC respectively) with M varying from Sc to Zn on nitrogen-doped graphene for CO&lt;sub>2&lt;/sub> reduction using hybrid-density functional theory and potential dependent micro-kinetic modeling. The formation energy calculations reveal several stable single and di-atom doping site motifs. We consider the kinetics of CO&lt;sub>2&lt;/sub> using the binding energies of CO&lt;sub>2&lt;/sub>* and COOH* intermediates as the descriptors to analyze the activity of these catalysts. In comparison to (211) transition metal (TM) surfaces, both MNCs and FeMNCs show a variety of binding motifs of the reaction intermediates on different metal dopants. We find four MNCs as CrNC, MnNC, FeNC, and CoNC with high catalytic efficiency for CO&lt;sub>2&lt;/sub>R. Among the different FeMNCs with varying doping geometry and surrounding N-coordination, we have identified 11 candidates having high TOF for CO production and lower selectivity for the hydrogen evolution reaction. FeMnNC shows the highest activity for CO&lt;sub>2&lt;/sub>R. Large CO&lt;sub>2&lt;/sub>* dipole-field interactions in both the MNCs and FeMNCs give rise to deviations in scaling from TM surfaces.</pubmed_abstract><journal>ACS catalysis</journal><pubmed_title>Computational Screening of Single and Di-Atom Catalysts for Electrochemical CO&lt;sub>2&lt;/sub> Reduction.</pubmed_title><pmcid>PMC10057768</pmcid><funding_grant_id>9455</funding_grant_id><funding_grant_id>851441</funding_grant_id><pubmed_authors>Karmodak N</pubmed_authors><pubmed_authors>Kastlunger G</pubmed_authors><pubmed_authors>Chan K</pubmed_authors><pubmed_authors>Vijay S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Computational Screening of Single and Di-Atom Catalysts for Electrochemical CO&lt;sub>2&lt;/sub> Reduction.</name><description>Supported single atom catalysts on defected graphene show great potential for electrochemical reduction of CO&lt;sub>2&lt;/sub> to CO. In this study, we perform a computational screening of single and di-atom catalysts (MNCs and FeMNC respectively) with M varying from Sc to Zn on nitrogen-doped graphene for CO&lt;sub>2&lt;/sub> reduction using hybrid-density functional theory and potential dependent micro-kinetic modeling. The formation energy calculations reveal several stable single and di-atom doping site motifs. We consider the kinetics of CO&lt;sub>2&lt;/sub> using the binding energies of CO&lt;sub>2&lt;/sub>* and COOH* intermediates as the descriptors to analyze the activity of these catalysts. In comparison to (211) transition metal (TM) surfaces, both MNCs and FeMNCs show a variety of binding motifs of the reaction intermediates on different metal dopants. We find four MNCs as CrNC, MnNC, FeNC, and CoNC with high catalytic efficiency for CO&lt;sub>2&lt;/sub>R. Among the different FeMNCs with varying doping geometry and surrounding N-coordination, we have identified 11 candidates having high TOF for CO production and lower selectivity for the hydrogen evolution reaction. FeMnNC shows the highest activity for CO&lt;sub>2&lt;/sub>R. Large CO&lt;sub>2&lt;/sub>* dipole-field interactions in both the MNCs and FeMNCs give rise to deviations in scaling from TM surfaces.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2025-04-22T18:12:48.149Z</modification><creation>2025-02-19T01:12:51.367Z</creation></dates><accession>S-EPMC10057768</accession><cross_references><pubmed>37006962</pubmed><doi>10.1021/acscatal.1c05750</doi></cross_references></HashMap>