Nuclear quantum effects of metal surface-mediated C–H activation

The nuclear quantum effects of surface-mediated C-H activation of surface CH<sub>3</sub> are considered for the pristine Pt(111) and Au(111) surfaces at 300 K. The kinetic barriers without nuclear quantum effects are calculated using both static density functional theory calculations and <i>ab initio</i> molecular dynamics. Static calculations are performed using the harmonic approximation while the free energy pathway is calculated using enhanced sampling molecular dynamics. Machine learning potentials are trained using generated datasets and validated against the <i>ab initio</i> molecular dynamics generated free energy pathways. The machine learning potentials are used to perform centroid molecular dynamics to consider the nuclear quantum effects of C-H activation. Nuclear quantum effects are found to have a very significant effect on the free energy pathway, with reduced importance at higher temperatures and in the CD<sub>3</sub> case.

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Publication Details

Journal
Physical Chemistry Chemical Physics
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cp01527h
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Nuclear quantum effects of metal surface-mediated C–H activation

Tuan Anh Pham, Rhys J. Bunting, David M. Wilkins, Sneha A. Akhade et al.
4 links
Physical Chemistry Chemical Physics
Advanced Chemical Physics Studies
article

Nuclear quantum effects of metal surface-mediated C–H activation

Tuan Anh Pham, Rhys J. Bunting, David M. Wilkins, Sneha A. Akhade, Nikhil Rampal, Sam Shepherd
article en

Abstract

The nuclear quantum effects of surface-mediated C-H activation of surface CH<sub>3</sub> are considered for the pristine Pt(111) and Au(111) surfaces at 300 K. The kinetic barriers without nuclear quantum effects are calculated using both static density functional theory calculations and <i>ab initio</i> molecular dynamics. Static calculations are performed using the harmonic approximation while the free energy pathway is calculated using enhanced sampling molecular dynamics. Machine learning potentials are trained using generated datasets and validated against the <i>ab initio</i> molecular dynamics generated free energy pathways. The machine learning potentials are used to perform centroid molecular dynamics to consider the nuclear quantum effects of C-H activation. Nuclear quantum effects are found to have a very significant effect on the free energy pathway, with reduced importance at higher temperatures and in the CD<sub>3</sub> case.

Physical Chemistry Chemical PhysicsVol. 27(30)
Queen's University Belfast (GB), Lawrence Livermore National Laboratory (US), Queens University (BD)
U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Laboratory Directed Research and Development, Hydrogen and Fuel Cell Technologies Office, Office of Energy Efficiency, Lawrence Livermore National Laboratory
Openalex Percentile: Top 87%
Advanced Chemical Physics Studies
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