Ab initio investigation of potential energy curves of He2, He2+, and extrapolation by the machine learning method

Author:

Xu Shaofeng12ORCID,Lu Aijiang1,Zhong Xiaoxia3,Guo Ying12,Shi Jianjun4

Affiliation:

1. College of Science Donghua University Shanghai People's Republic of China

2. Member of Magnetic Confinement Fusion Research Center Ministry of Education of the People's Republic of China Shanghai People's Republic of China

3. School of Physics and Astronomy Shanghai Jiao Tong University Shanghai People's Republic of China

4. Yiwu Research Institute of Fudan University Yiwu People's Republic of China

Abstract

AbstractDiatomic molecules , are common compositions in plasmas using the helium as the working gas, and play key roles in quenching O2 and N2. However, the potential energy curve (PEC) of the first state obtained at the CASSCF level of theory is not accuracy and data of higher excited states of are lacking. Here, we calculated PECs of four excited states of and nine lowest electronic states of by employing CASSCF+MRCI/Aug‐cc‐pV5Z and CCSD(T)/Aug‐cc‐pV5Z level of theory with sample internuclear distance interval of 0.005 Å. PECs were extrapolated to the complete basis sets. There are double local maxima in PECs of three excited states , , . The machine learning method based on the Gaussian process was used to interpolate and extrapolate the PECs, and then vibrational wave functions are solved numerically. This ab initio investigation provided rotational‐vibrational constants and new data for experimental research in the future.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3