Issue 7, 2023

Investigating the Eley–Rideal recombination of hydrogen atoms on Cu (111) via a high-dimensional neural network potential energy surface

Abstract

As a prototypical system for studying the Eley–Rideal (ER) mechanism at the gas–surface interface, the reaction between incident H/D atoms and pre-covered D/H atoms on Cu (111) has attracted much experimental and theoretical interest. Detailed final state-resolved experimental data have been available for about thirty-years, leading to the discovery of many interesting dynamical features. However, previous theoretical models have suffered from reduced-dimensional approximations and/or omitting energy transfer to surface phonons and electrons, or the high cost of on-the-fly ab initio molecular dynamics, preventing quantitative comparisons with experimental data. Herein, we report the first high-dimensional neural network potential (NNP) for this ER reaction based on first-principles calculations including all molecular and surface degrees of freedom. Thanks to the high efficiency of this NNP, we are able to perform extensive quasi-classical molecular dynamics simulations with the inclusion of the excitation of low-lying electron–hole pairs (EHPs), which generally yield good agreement with various experimental results. More importantly, the isotopic and/or EHP effects in total reaction cross-sections and distributions of the product energy, scattering angle, and individual ro-vibrational states have been more clearly shown and discussed. This study sheds valuable light on this important ER prototype and opens a new avenue for further investigations of ER reactions using various initial conditions, surface temperatures, and coverages in the future.

Graphical abstract: Investigating the Eley–Rideal recombination of hydrogen atoms on Cu (111) via a high-dimensional neural network potential energy surface

Article information

Article type
Paper
Submitted
23 11月 2022
Accepted
18 1月 2023
First published
19 1月 2023

Phys. Chem. Chem. Phys., 2023,25, 5479-5488

Investigating the Eley–Rideal recombination of hydrogen atoms on Cu (111) via a high-dimensional neural network potential energy surface

L. Zhu, C. Hu, J. Chen and B. Jiang, Phys. Chem. Chem. Phys., 2023, 25, 5479 DOI: 10.1039/D2CP05479E

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