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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
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Global diabatic potential energy surfaces of the BeH2 system constructed using neural network method
Chunhong Zhao1, Ruyi Liu1, Wentao Li1
1Weifang University of Science and Technology, Shouguang 262700, China.
The Journal of Chemical Physics
|December 17, 2025
Summary
High-quality diabatic potential energy surfaces for BeH2 were developed using neural networks. Nonadiabatic effects significantly impact the Be + H2 reaction, creating an energy barrier and altering reaction dynamics.
Area of Science:
- Theoretical Chemistry
- Quantum Mechanics
- Chemical Dynamics
Background:
- Accurate potential energy surfaces (PESs) are crucial for understanding chemical reactions.
- Diabatic PESs are essential for describing nonadiabatic transitions between electronic states.
Purpose of the Study:
- Construct high-quality diabatic PESs for the BeH2 system.
- Investigate the role of nonadiabatic effects in the Be + H2 reaction.
Main Methods:
- Neural network approach with symmetry-restricted functions.
- High-level ab initio calculations at the MRCI-F12/AVQZ level.
- Dynamical calculations using both adiabatic and diabatic PESs.
Main Results:
- Developed accurate diabatic PES matrix for BeH2 electronic states.
- Identified significant nonadiabatic effects in the Be + H2 reaction.
- Observed an emergent energy barrier and altered reaction threshold due to nonadiabaticity.
Conclusions:
- The new diabatic PESs reasonably describe electronic state transitions.
- Nonadiabatic effects play a critical role in the Be + H2 reaction dynamics.
- Adiabatic approximations neglect crucial nonadiabatic phenomena.
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