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Article

A Globally Accurate Neural Network Potential Energy Surface and Quantum Dynamics Studies on Be+(2S) + H2/D2 → BeH+/BeD+ + H/D Reactions

School of Physics and Electronic Technology, Liaoning Normal University, Dalian 116029, China
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Author to whom correspondence should be addressed.
Molecules 2024, 29(14), 3436; https://doi.org/10.3390/molecules29143436 (registering DOI)
Submission received: 7 July 2024 / Revised: 18 July 2024 / Accepted: 20 July 2024 / Published: 22 July 2024
(This article belongs to the Special Issue Molecular Dynamics Study on Chemical Reactions)

Abstract

Chemical reactions between Be+ ions and H2 molecules have significance in the fields of ultracold chemistry and astrophysics, but the corresponding dynamics studies on the ground-state reaction have not been reported because of the lack of a global potential energy surface (PES). Herein, a globally accurate ground-state BeH2+ PES is constructed using the neural network model based on 18,657 ab initio points calculated by the multi-reference configuration interaction method with the aug-cc-PVQZ basis set. On the newly constructed PES, the state-to-state quantum dynamics calculations of the Be+(2S) + H2(v0 = 0; j0 = 0) and Be+(2S) + D2(v0 = 0; j0 = 0) reactions are performed using the time-dependent wave packet method. The calculated results suggest that the two reactions are dominated by the complex-forming mechanism and the direct abstraction process at relatively low and high collision energies, respectively, and the isotope substitution has little effect on the reaction dynamics characteristics. The new PES can be used to further study the reaction dynamics of the BeH2+ system, such as the effects of rovibrational excitations and alignment of reactant molecules, and the present dynamics data could provide an important reference for further experimental studies at a finer level.
Keywords: potential energy surface; quantum dynamics; ab initio; neural network; time-dependent wave packet potential energy surface; quantum dynamics; ab initio; neural network; time-dependent wave packet

Share and Cite

MDPI and ACS Style

Yang, Z.; Cao, F.; Cheng, H.; Liu, S.; Sun, J. A Globally Accurate Neural Network Potential Energy Surface and Quantum Dynamics Studies on Be+(2S) + H2/D2 → BeH+/BeD+ + H/D Reactions. Molecules 2024, 29, 3436. https://doi.org/10.3390/molecules29143436

AMA Style

Yang Z, Cao F, Cheng H, Liu S, Sun J. A Globally Accurate Neural Network Potential Energy Surface and Quantum Dynamics Studies on Be+(2S) + H2/D2 → BeH+/BeD+ + H/D Reactions. Molecules. 2024; 29(14):3436. https://doi.org/10.3390/molecules29143436

Chicago/Turabian Style

Yang, Zijiang, Furong Cao, Huiying Cheng, Siwen Liu, and Jingchang Sun. 2024. "A Globally Accurate Neural Network Potential Energy Surface and Quantum Dynamics Studies on Be+(2S) + H2/D2 → BeH+/BeD+ + H/D Reactions" Molecules 29, no. 14: 3436. https://doi.org/10.3390/molecules29143436

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