Structural evolution and strain generation of derived-Cu catalysts during CO2 electroreduction

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作者
Qiong Lei
Liang Huang
Jun Yin
Bambar Davaasuren
Youyou Yuan
Xinglong Dong
Zhi-Peng Wu
Xiaoqian Wang
Ke Xin Yao
Xu Lu
Yu Han
机构
[1] King Abdullah University of Science and Technology (KAUST),Advanced Membranes and Porous Materials Center, Physical Sciences and Engineering Division
[2] Clean Combustion Research Center,Department of Applied Physics
[3] KAUST,Multi
[4] KAUST Solar Center,scale Porous Materials Center, Institute of Advanced Interdisciplinary Studies, & School of Chemistry and Chemical Engineering
[5] KAUST,undefined
[6] The Hong Kong Polytechnic University,undefined
[7] Hung Hom,undefined
[8] Kowloon,undefined
[9] Imaging and Characterization Core Lab,undefined
[10] KAUST,undefined
[11] KAUST Catalysis Center,undefined
[12] KAUST,undefined
[13] Chongqing University,undefined
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摘要
Copper (Cu)-based catalysts generally exhibit high C2+ selectivity during the electrochemical CO2 reduction reaction (CO2RR). However, the origin of this selectivity and the influence of catalyst precursors on it are not fully understood. We combine operando X-ray diffraction and operando Raman spectroscopy to monitor the structural and compositional evolution of three Cu precursors during the CO2RR. The results indicate that despite different kinetics, all three precursors are completely reduced to Cu(0) with similar grain sizes (~11 nm), and that oxidized Cu species are not involved in the CO2RR. Furthermore, Cu(OH)2- and Cu2(OH)2CO3-derived Cu exhibit considerable tensile strain (0.43%~0.55%), whereas CuO-derived Cu does not. Theoretical calculations suggest that the tensile strain in Cu lattice is conducive to promoting CO2RR, which is consistent with experimental observations. The high CO2RR performance of some derived Cu catalysts is attributed to the combined effect of the small grain size and lattice strain, both originating from the in situ electroreduction of precursors. These findings establish correlations between Cu precursors, lattice strains, and catalytic behaviors, demonstrating the unique ability of operando characterization in studying electrochemical processes.
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