Combining ab initio and machine learning method to improve the prediction of diatomic vibrational energies-Reference-Cited by-同舟云学术

Combining ab initio and machine learning method to improve the prediction of diatomic vibrational energies

Published:2022-07-04 Issue:18 Volume:122 Page:
ISSN:0020-7608
Container-title:International Journal of Quantum Chemistry
language:en
Short-container-title:Int J of Quantum Chemistry

Author:

Fu Jia¹^ORCID,Wan Zhitao¹,Yang Zhangzhang¹,Liu Li¹,Fan Qunchao¹,Xie Feng²,Zhang Yi³,Ma Jie⁴

Affiliation:

1. College of science, Key Laboratory of High Performance Scientific Computation Xihua University Chengdu China

2. Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education Tsinghua University Beijing China

3. College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha China

4. State Key Laboratory of Quantum Optics and Quantum Optics Devices, Laser Spectroscopy Laboratory, College of Physics and Electronics Engineering Shanxi University Taiyuan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qua.26953

Reference45 articles.

1. Search for new physics with atoms and molecules

2. Vibrational Spectroscopic Map, Vibrational Spectroscopy, and Intermolecular Interaction

3. Deuteron-to-Proton Mass Ratio from Simultaneous Measurement of the Cyclotron Frequencies of H2+ and D+