Neural Network-based Global ab initio Potential Energy Surface for the 21A State of C(1D)+H2 Reactiv

来源 :第十五届全国化学动力学会议 | 被引量 : 0次 | 上传用户：wangyingbbs

【摘要】

：

　　The typical atom-diatom insertion reaction C(1D) + H2→CH(2Π) + H(2S) plays a signi ficant role in the hydrocarbon combustion and astrophysics of interstel

【作者】

：

Fengyi Li H Ma W Bian

【机构】

：

InstituteofChemistry,ChineseAcademyofSciences,No.2ZhongguancunNorthFirstStreet,HaidianDistrict,Beiji

【出处】

：

第十五届全国化学动力学会议

【发表日期】

：

2017年8期

【关键词】

：

insertion reaction potential energy surface neural network machine learning

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　　The typical atom-diatom insertion reaction C(1D) + H2→CH(2Π) + H(2S) plays a signi ficant role in the hydrocarbon combustion and astrophysics of interstellar medium.

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Neural Network-based Global ab initio Potential Energy Surface for the 21A State of C(1D)+H2 Reactiv

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