催化作用
杠杆(统计)
密度泛函理论
选择性
电流密度
分子
材料科学
浸出(土壤学)
纳米技术
化学
化学工程
计算机科学
环境科学
计算化学
物理
有机化学
土壤科学
土壤水分
工程类
机器学习
量子力学
作者
Mao Wu,Danji Huang,Feili Lai,Ruoou Yang,Yan Liu,Jiakun Fang,Tianyou Zhai,Youwen Liu
标识
DOI:10.1073/pnas.2302851120
摘要
Sequentially managing the coverage and dimerization of *CO on the Cu catalysts is desirable for industrial-current-density CO 2 reduction (CO 2 R) to C 2+ , which required the multiscale design of the surface atom/architecture. However, the oriented design is colossally difficult and even no longer valid due to unpredictable reconstruction. Here, we leverage the synchronous leaching of ligand molecules to manipulate the seeding-growth process during CO 2 R reconstruction and construct Cu arrays with favorable (100) facets. The gradient diffusion in the reconstructed array guarantees a higher *CO coverage, which can continuously supply the reactant to match its high-rate consumption for high partial current density for C 2+ . Sequentially, the lower energy barriers of *CO dimerization on the (100) facets contribute to the high selectivity of C 2+ . Profiting from this sequential *CO management, the reconstructed Cu array delivers an industrial-relevant FE C2+ of 86.1% and an FE C2H4 of 60.8% at 700 mA cm −2 . Profoundly, the atomic-molecular scale delineation for the evolution of catalysts and reaction intermediates during CO 2 R can undoubtedly facilitate various electrocatalytic reactions.
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