An accurate full-dimensional potential energy surface and quasiclassical trajectory dynamics of the H + H2O2 two-channel reaction

Literature Information

Publication Date 2018-08-15
DOI 10.1039/C8CP04045A
Impact Factor 3.676
Authors

Kejie Shao, Bina Fu, Xingan Wang, Dong H. Zhang


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Abstract

We report a new full-dimensional potential energy surface (PES) of the H + H2O2 reaction, covering both H2 + HO2 and OH + H2O product channels. The PES was constructed using the recently proposed fundamental invariant neural network (FI-NN) approach based on roughly 110 000 ab initio energy points by high level UCCSD(T)-F12/aug-cc-pVTZ calculations. The small fitting error (5.7 meV) and various tests imply a faithful representation of the discrete ab initio data over a large configuration space. Extensive quasiclassical trajectory (QCT) calculations were carried out on the new PES at a collision energy (Ec) of 15.0 kcal mol−1. The reaction yields dominantly OH + H2O, because of the lower reaction barrier and much larger reaction exothermicity (∼71 kcal mol−1) for this channel. Due to the exit barrier of both reaction channels, the most available energy is partitioned into the translational motion of the products. Considerable vibrational excitations of the H2O product are seen, particularly for the symmetric stretching and bending modes. The angular distributions show predominantly backward scattering, which is consistent with the direct rebound mechanism.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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