Boosting(机器学习)
铜
燃烧
氨
催化作用
化学
氨生产
化学工程
无机化学
生物化学
计算机科学
有机化学
工程类
人工智能
作者
Xue Su,Zheng‐Qing Huang,Chun‐Ran Chang
摘要
Abstract Copper oxides exhibit outstanding performance in ammonia catalytic combustion, but a limited understanding of reaction mechanisms and the nature of active sites under operating conditions hinders further catalyst optimization. Utilizing density functional theory‐based microkinetic simulations, we herein establish a comprehensive reaction mechanism on CuO(111), which enables the successful prediction of the experimental light‐off temperature and identifies the self‐adaptive copper pairs as key active sites. The NH 2 coupling over the copper pairs is the critical step for N 2 formation, which, along with H 2 O production, governs the overall reaction rate. Interestingly, the copper atom pairs can adjust their atomic distance ranging from 2.42 to 2.90 Å and their oxidation states between Cu I and Cu II in response to the adsorbed intermediates, thereby facilitating the catalytic cycle and specifically inhibiting NH 2 dehydrogenation. Moreover, reducing copper pair distance through surface compressive strain can further lower the activation energies of rate‐determining steps and enhance the reactivity.
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