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        <identifier>oai:materialscloud.org:1051</identifier>
        <datestamp>2021-10-22T14:36:58Z</datestamp>
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          <dc:contributor>Rossi, Kevin</dc:contributor>
          <dc:contributor>Buonsanti, Raffaella</dc:contributor>
          <dc:creator>Varandili, Seyedeh Behnaz</dc:creator>
          <dc:creator>Stoian, Dragos</dc:creator>
          <dc:creator>Vavra, Jan</dc:creator>
          <dc:creator>Rossi, Kevin</dc:creator>
          <dc:creator>Pankhurst, James R</dc:creator>
          <dc:creator>Guntern, Yannick</dc:creator>
          <dc:creator>Lopez, Nuria</dc:creator>
          <dc:creator>Buonsanti, Raffaella</dc:creator>
          <dc:date>2021-10-22</dc:date>
          <dc:description>Understanding the catalyst compositional and structural features that control selectivity is of uttermost importance to target desired products in chemical reactions. In this joint experimental–computational work, we leverage tailored Cu/ZnO precatalysts as a material platform to identify the intrinsic features of methane-producing and ethanol-producing CuZn catalysts in the electrochemical CO2 reduction reaction (CO2RR). Specifically, we find that Cu@ZnO nanocrystals, where a central Cu domain is decorated with ZnO domains, and ZnO@Cu nanocrystals, where a central ZnO domain is decorated with Cu domains, evolve into Cu@CuZn core@shell catalysts that are selective for methane (∼52%) and ethanol (∼39%), respectively. Operando X-ray absorption spectroscopy and various microscopy methods evidence that a higher degree of surface alloying along with a higher concentration of metallic Zn improve the ethanol selectivity. Density functional theory explains that the combination of electronic and tandem effects accounts for such selectivity. These findings mark a step ahead towards understanding structure–property relationships in bimetallic catalysts for the CO2RR and their rational tuning to increase selectivity towards target products, especially alcohols.</dc:description>
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          <dc:identifier>https://doi.org/10.24435/materialscloud:3r-gn</dc:identifier>
          <dc:identifier>oai:materialscloud.org:1051</dc:identifier>
          <dc:identifier>mcid:2021.165</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:publisher>Materials Cloud</dc:publisher>
          <dc:relation>https://doi.org/10.1039/D1SC04271H</dc:relation>
          <dc:relation>https://pubs.rsc.org/en/content/articlepdf/2021/sc/d1sc04271h</dc:relation>
          <dc:relation>https://archive.materialscloud.org/communities/mcarchive</dc:relation>
          <dc:relation>https://doi.org/10.24435/materialscloud:k1-h4</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>CO2RR</dc:subject>
          <dc:subject>DFT</dc:subject>
          <dc:subject>CO2</dc:subject>
          <dc:subject>Cu</dc:subject>
          <dc:subject>CuZn</dc:subject>
          <dc:subject>ERC</dc:subject>
          <dc:subject>H2020</dc:subject>
          <dc:subject>EPFL</dc:subject>
          <dc:subject>SNSF</dc:subject>
          <dc:title>Elucidating the structure-dependent selectivity towards methane and ethanol of CuZn in the CO2 electroreduction using tailored Cu/ZnO precatalysts</dc:title>
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