A nine-dimensional global potential energy surface for NH4(X2A1) and kinetics studies on the H + NH3 ↔ H2 + NH2 reaction
Literature Information
Jun Li, Hua Guo
Extensive ab initio calculations of the stationary points in the NH4(X2A1) system are reported using both coupled cluster and multi-reference configuration interaction methods. In addition, more than 100 000 points are generated over a large configuration space and energy range (6 eV) using the explicitly correlated unrestricted coupled cluster method with single, double, and perturbative triple excitations with the augmented correlation-consistent polarized triple zeta basis set (UCCSD(T)-F12a/aug-cc-pVTZ). Using the recently proposed permutation-invariant polynomial neural network (PIP-NN) method, these points are accurately fit to an analytical form with a total root mean squared error (RMSE) of 3.4 meV (0.08 kcal mol−1). Both the abstraction and exchange channels as well as the metastable ammonium radical (NH4) are included in this potential energy surface. Transition-state theory and quasi-classical trajectory calculations have been performed to obtain the rate constants for the abstraction reaction and its reverse. Comparison with available experimental results is satisfactory, providing supporting evidence for the accuracy of the potential.
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Physical Chemistry Chemical Physics

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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