Journal
SCIENCE CHINA-CHEMISTRY
Volume 57, Issue 1, Pages 147-155Publisher
SCIENCE PRESS
DOI: 10.1007/s11426-013-5005-7
Keywords
potential energy surface; DFT calculations; neural networks; wave packet; six-dimensional
Categories
Funding
- National Natural Science Foundation of China [91221301, 90921014]
- Chinese Academy of Sciences
- Ministry of Science and Technology of China
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We constructed a six-dimensional potential energy surface (PES) for the dissociative chemisorption of HCl on Au(111) using the neural networks method based on roughly 70000 energies obtained from extensive density functional theory (DFT) calculations. The resulting PES is accurate and smooth, based on the small fitting errors and good agreement between the fitted PES and the direct DFT calculations. Time-dependent wave packet calculations show that the potential energy surface is very well converged with respect to the number of DFT data points, as well as to the fitting process. The dissociation probabilities of HCl initially in the ground rovibrational state from six-dimensional quantum dynamical calculations are quite different from the four-dimensional fixed-site calculations, indicating it is essential to perform full-dimensional quantum dynamical studies for the title molecule-surface interaction system.
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