材料科学
Boosting(机器学习)
氨
硝酸盐
氨生产
还原(数学)
电催化剂
无机化学
拓扑(电路)
电化学
电极
物理化学
计算机科学
人工智能
有机化学
数学
组合数学
化学
几何学
作者
Tingting Liang,Jiangnan Lv,Lanfang Wang,Qianwen Yang,Jianlei Shen,Xiaoting Sun,Wanting Rong,Qiqi Dai,Fang Wang,Yang Liu
标识
DOI:10.1002/aenm.202503473
摘要
Abstract Designing efficient catalysts for nitrate reduction reaction (NO 3 − RR) poses a challenge in advancing the selectivity and yield of ammonia (NH 3 ). Unlike conventional catalytic descriptors, topological surface states (TSSs) represent an orthogonal avenue for tailoring catalytic properties, while its role in NO 3 − RR remains unknown. Here, the semimetallic character of Co 3 Sn 2 S 2 , endowed with robust TSSs is leveraged and enhances charge transport characteristics, to establish this system as a prototypical platform for decoding surface state‐governed NO 3 − RR mechanism. The catalyst exhibits exceptional NO 3 − RR performance, achieving a maximum NH 3 Faradaic efficiency of 91.6% at −0.5 V RHE and a high NH 3 yield of 22.4 mg h −1 cm −2 at −0.6 V RHE , while maintaining excellent stability over 200 h in a membrane–electrode assembly electrolyzer, outperforming its semiconductor counterparts. In situ experiments and density functional theory calculations reveal that the TSSs accelerate charge transfer kinetics as well as alleviate the energy barrier for the *NOH → *N step. This work highlights the critical role of TSSs in governing electrocatalytic mechanisms and advances the rational design of high‐performance topological NO 3 − RR catalysts.
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