journal article·2023-10Open access

Quasi‐Copper‐Mers Enable High‐Performance Catalysis for CO2 Reduction

Jing Yang, Ximeng Liu, Zhao Li, Shibo Xi, Jianguo Sun, Hao Yuan, Weihao Liu, Tuo Wang, Yulin Gao, Haimei Wang, Junjie Wang, Jun Song Chen, Rui Wu, Yong‐Wei Zhang, John Wang

Advanced Science· Volume 10· Issue 29

Abstract

Abstract As the atmospheric carbon dioxide (CO2) level keeps hitting the new record, humanity is facing an ever‐daunting challenge to efficiently mitigate CO2 from the atmosphere. Though electrochemical CO2 reduction presents a promising pathway to convert CO2 to valuable fuels and chemicals, the general lack of suitable electrocatalysts with high activity and selectivity severely constrains this approach. Herein, a novel class of electrocatalysts is investigated, the quasi‐copper‐mers, in which the CuN4 rather than Cu atom itself serve as the basic building block. The respective quasi‐copper‐monomers, ‐dimers, and ‐trimers hosted in a graphene‐like substrate are first synthesized and then performed both experimental characterization and density functional theory (DFT) calculations to examine their atomic structures, evaluate their electrocatalytical performance and understand their underlying mechanisms. The experimental results show that the quasi‐copper‐trimers not only outperform the quasi‐copper‐dimer and quasi‐copper‐monomer when catalyzing CO2 to CO, it also shows a superior selectivity against the competing hydrogen evolution reaction (HER). The DFT calculations not only support the experimental observations, but also reveal the volcano curve and the physical origin for the qausi‐copper‐trimer superiority. The present work thus presents a new strategy in the design of high‐performance electrocatalysts with high activity and selectivity.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Advanced Photocatalysis Techniques · Electrocatalysts for Energy Conversion

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of High Performance Computing (IHPC) Agency for Science, Technology and Research (A*STAR) 1 Fusionopolis Way, #16‐16 Connexis Singapore 138632 Singapore

Department of Materials Science and Engineering National University of Singapore Singapore 119077 Singapore

School of Materials and Energy University of Electronic Science and Technology of China Chengdu 610054 China

Institute of Sustainability for Chemicals Energy and Environment (ISCE2) Agency for Science, Technology and Research (A*STAR) 1 Pesek Road, Jurong Island Singapore 627833 Singapore

National University of Singapore (NUS) Research Institute (Chongqing) Chongqing Liang Jiang New Area Chongqing 401120 China

Funding

National Research Foundation Singapore

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