化学
化学物理
星团(航天器)
密度泛函理论
格式化
电子结构
亚稳态
电化学
联轴节(管道)
电子转移
人口
计算化学
反应性(心理学)
吸附
蒙特卡罗方法
轨道重叠
从头算量子化学方法
基本电荷
电催化剂
自然键轨道
分子动力学
催化作用
金团
电荷(物理)
赫巴德模型
分子轨道
分子物理学
电子
从头算
电子效应
纳米结构
分子
铜
结晶学
静电学
晶体结构
纳米技术
化学键
作者
Jinze Zhu,Jia-Lan Chen,Xin-Ze Qi,Jianwen Zhao,Xuechun Jiang,Wei-Xue Li,Jin-Xun Liu
摘要
Subnanometer copper clusters supported on functional substrates have emerged as promising catalysts for electrochemical CO2 reduction (eCO2RR) to multicarbon (C2+) products. However, the mechanistic origin of their superior C-C coupling activity remains elusive. Here, we combine machine learning-accelerated grand canonical Monte Carlo sampling with grand canonical density functional theory to reveal how the electronic and structural features of the g-C3N4-supported Cu8 cluster promote CO-CO dimerization. Under increasingly negative potentials, CO adsorption is thermodynamically favored, whereas formate adsorption is suppressed, increasing both the intrinsic reactivity and the statistical likelihood of C-C bond formation. Relative to an extended Cu(100) surface, Cu8 clusters exhibit lower CO-CO coupling barriers via purely top-bound CO adsorption. This is driven by their undercoordinated Cu atoms, which incur a larger positive shift in the potential of zero charge (UPZC) and accumulate more excess electronic charge. These factors enhance Cu-OCCO orbital hybridization and stabilize the OCCO intermediate through strong electrostatic interactions induced by field-dipole coupling. Although some metastable Cu8 isomers are intrinsically active, CO-saturated global-minimum Cu8(CO)15 species dominate under operating conditions because of their high population and favorable kinetics. Our findings highlight the critical roles of the electronic structure and cluster geometry in mediating electron transfer and intermediate stabilization, yielding transferable design rules to enhance valuable-product formation across electrocatalytic platforms.
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