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Rate coefficients of the h + h2o2 -> h-2 + ho2 reaction on an accurate fundamental invariant-neural network potential energy surface

文献类型:期刊论文

作者Lu, Xiaoxiao1,2,3; Meng, Qingyong4; Wang, Xingan1; Fu, Bina2,3; Zhang, Dong H.2,3
刊名Journal of chemical physics
出版日期2018-11-07
卷号149期号:17页码:7
ISSN号0021-9606
DOI10.1063/1.5063613
通讯作者Fu, bina(bina@dicp.ac.cn)
英文摘要The rate coefficients of the h + h2o2 -> h-2 + ho2 reaction are calculated using the ring polymer molecular dynamics (rpmd), quasi-classical trajectory (qct), and canonical variational transition state theory (cvt) with small curvature tunneling (sct) correction, in conjunction with the recently constructed fundamental invariant-neural network (fi-nn) potential energy surface (pes) [x. lu et al., phys. chem. chem. phys. 20, 23095 (2018)]. in rpmd calculations, 32, 16, and 8 beads are used for computing the rate coefficients at 200k <= t <= 400 k, 500k <= t <= 700 k, and 700k < t <= 1000 k, respectively. given that the previous experimental rate coefficients vary widely, in particular, at low temperatures, the present rpmd rate coefficients agree well with most of the experimental results. in addition, comparing with some experimental values, the present qct and cvt/sct calculations on the fi-nn pes also predict accurate results at some temperatures. these results strongly support the accuracy of the present dynamics calculations as well as the full-dimensional fi-nn pes. published by aip publishing.
WOS关键词POLYMER MOLECULAR-DYNAMICS ; CHEMICAL-REACTION RATES ; HCL PLUS OH ; HYDROGEN-PEROXIDE ; STATISTICAL-MECHANICS ; CL ; PROGRAM ; VERSION ; C(D-1) ; LIMIT
WOS研究方向Chemistry ; Physics
WOS类目Chemistry, Physical ; Physics, Atomic, Molecular & Chemical
语种英语
WOS记录号WOS:000449558000022
出版者AMER INST PHYSICS
URI标识http://www.irgrid.ac.cn/handle/1471x/2373105
专题大连化学物理研究所
通讯作者Fu, Bina
作者单位1.Univ Sci & Technol China, Dept Chem Phys, Jinzhai Rd 96, Hefei 230026, Anhui, Peoples R China
2.Chinese Acad Sci, State Key Lab Mol React Dynam, Zhongshan Rd 457, Dalian 116023, Peoples R China
3.Chinese Acad Sci, Ctr Theoret & Computat Chem, Dalian Inst Chem Phys, Zhongshan Rd 457, Dalian 116023, Peoples R China
4.Northwestern Polytech Univ, Dept Appl Chem, Youyi West Rd 127, Xian 710072, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Lu, Xiaoxiao,Meng, Qingyong,Wang, Xingan,et al. Rate coefficients of the h + h2o2 -> h-2 + ho2 reaction on an accurate fundamental invariant-neural network potential energy surface[J]. Journal of chemical physics,2018,149(17):7.
APA Lu, Xiaoxiao,Meng, Qingyong,Wang, Xingan,Fu, Bina,&Zhang, Dong H..(2018).Rate coefficients of the h + h2o2 -> h-2 + ho2 reaction on an accurate fundamental invariant-neural network potential energy surface.Journal of chemical physics,149(17),7.
MLA Lu, Xiaoxiao,et al."Rate coefficients of the h + h2o2 -> h-2 + ho2 reaction on an accurate fundamental invariant-neural network potential energy surface".Journal of chemical physics 149.17(2018):7.

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来源:大连化学物理研究所

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