A statistical model for predicting thermal chemical reaction rate

被引:4
作者
Lin Zheng-Zhe [1 ]
Li Wang-Yao [2 ,3 ]
Ning Xi-Jing [1 ]
机构
[1] Fudan Univ, Inst Modern Phys, Dept Nucl Sci & Technol, Shanghai 200433, Peoples R China
[2] Fudan Univ, Dept Phys, Shanghai 200433, Peoples R China
[3] Fudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
chemical reaction rate; transition state theory; unimolecular reaction; bimolecular reaction; RATE CONSTANTS; UNIMOLECULAR PROCESSES; THERMOCHEMISTRY; DYNAMICS; KINETICS;
D O I
10.1088/1674-1056/23/5/050501
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
A simple model based on the statistics of individual atoms [Europhys. Lett. 94 40002 (2011)] or molecules [Chin. Phys. Lett. 29 080504 (2012)] was used to predict chemical reaction rates without empirical parameters, and its physical basis was further investigated both theoretically and via MD simulations. The model was successfully applied to some reactions of extensive experimental data, showing that the model is significantly better than the conventional transition state theory. It is worth noting that the prediction of the model on ab initio level is much easier than the transition state theory or unimolecular RRKM theory.
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页数:7
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