合理设计
缩放比例
约束(计算机辅助设计)
功能(生物学)
反应性(心理学)
计算机科学
催化作用
生物系统
材料科学
生化工程
计算化学
纳米技术
化学
数学
工程类
有机化学
医学
几何学
病理
替代医学
生物
进化生物学
作者
Zhi‐Jian Zhao,Sihang Liu,Shenjun Zha,Dongfang Cheng,Felix Studt,Graeme Henkelman,Jinlong Gong
标识
DOI:10.1038/s41578-019-0152-x
摘要
The active sites of heterogeneous catalysts can be difficult to identify and understand, and, hence, the introduction of active sites into catalysts to tailor their function is challenging. During the past two decades, scaling relationships have been established for important heterogeneous catalytic reactions. More specifically, a physical or chemical property of the reaction system, termed as a reactivity descriptor, scales with another property often in a linear manner, which can describe and/or predict the catalytic performance. In this Review, we describe scaling relationships and reactivity descriptors for heterogeneous catalysis, including electronic descriptors represented by d-band theory, structural descriptors, which can be directly applied to catalyst design, and, ultimately, universal descriptors. The prediction of trends in catalytic performance using reactivity descriptors can enable the rational design of catalysts and the efficient screening of high-throughput catalysts. Finally, we outline methods to break scaling relationships and, hence, to break the constraint that active sites pose on the catalytic performance. Recently, scaling relationships have been established between certain physical or chemical properties of heterogeneous catalytic reactions. These properties, or reactivity descriptors, can describe and predict catalytic performance, and thus enable the rational design of new catalysts.
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