动能
生化工程
化学过程
估计理论
计算机科学
统计物理学
生物系统
化学
物理
算法
工程类
量子力学
生物
有机化学
作者
Sebastian Matera,William F. Schneider,Andreas Heyden,Aditya Savara
出处
期刊:ACS Catalysis
[American Chemical Society]
日期:2019-06-13
卷期号:9 (8): 6624-6647
被引量:184
标识
DOI:10.1021/acscatal.9b01234
摘要
Chemical kinetic modeling in heterogeneous catalysis is advancing in its ability to provide qualitatively or even quantitatively accurate prediction of real-world behavior because of new advances in the physical and chemical representations of catalytic systems, estimation of relevant kinetic parameters, and capabilities in kinetic modeling. This Perspective describes current trends and future areas of advancement in chemical kinetic modeling, simulation, and parameter estimation: ranging from elementary step calculations to multiscale modeling to the role of advanced statistical methods for incorporating uncertainties in predictions. Multiple new or growing methodologies are covered, examples are provided, and forward-looking topics for advancement are noted.
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