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Rate coefficients of the H + H2O2 → H2 + HO2 reaction on an accurate fundamental invariant-neural network potential
Xiaoxiao Lu1, Qingyong Meng2, Xingan Wang1
1Department of Chemical Physics, University of Science and Technology of China, Jinzhai Road 96, Hefei 230026, China.
Abstract:
The rate coefficients of the H + H2O2 → H2 + HO2 reaction are calculated using the ring polymer molecular dynamics (RPMD), quasi-classical trajectory (QCT), and canonical variational transition state theory (CVT) with small curvature tunneling (SCT) correction, in conjunction with the recently constructed fundamental invariant-neural network (FI-NN) potential energy surface (PES) [X. Lu et al., Phys. Chem. Chem. Phys. 20, 23095 (2018)]. In RPMD calculations, 32, 16, and 8 beads are used for computing the rate coefficients at 200 K ≤ T ≤ 400 K, 500 K ≤ T ≤ 700 K, and 700 K < T ≤ 1000 K, respectively. Given that the previous experimental rate coefficients vary widely, in particular, at low temperatures, the present RPMD rate coefficients agree well with most of the experimental results. In addition, comparing with some experimental values, the present QCT and CVT/SCT calculations on the FI-NN PES also predict accurate results at some temperatures. These results strongly support the accuracy of the present dynamics calculations as well as the full-dimensional FI-NN PES.
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