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A permutationally invariant full-dimensional ab initio potential energy surface for the abstraction and exchange
Jun Li1, Jun Chen2, Zhiqiang Zhao2
1School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China.
Abstract:
We report a permutationally invariant global potential energy surface (PES) for the H + CH4 system based on ∼63,000 data points calculated at a high ab initio level (UCCSD(T)-F12a/AVTZ) using the recently proposed permutation invariant polynomial-neural network method. The small fitting error (5.1 meV) indicates a faithful representation of the ab initio points over a large configuration space. The rate coefficients calculated on the PES using tunneling corrected transition-state theory and quasi-classical trajectory are found to agree well with the available experimental and previous quantum dynamical results. The calculated total reaction probabilities (Jtot = 0) including the abstraction and exchange channels using the new potential by a reduced dimensional quantum dynamic method are essentially the same as those on the Xu-Chen-Zhang PES [Chin. J. Chem. Phys. 27, 373 (2014)].
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