Record |
Author |
Gerrits, N.; Jackson, B.; Bogaerts, A. |
Title |
Accurate Reaction Probabilities for Translational Energies on Both Sides of the Barrier of Dissociative Chemisorption on Metal Surfaces |
Type |
A1 Journal Article |
Year |
2024 |
Publication |
The Journal of Physical Chemistry Letters |
Abbreviated Journal |
J. Phys. Chem. Lett. |
Volume |
15 |
Issue |
9 |
Pages |
2566-2572 |
Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
Abstract |
Molecular dynamics simulations are essential for a better understanding of dissociative chemisorption on metal surfaces, which is often the rate-controlling step in heterogeneous and plasma catalysis. The workhorse quasi-classical trajectory approach ubiquitous in molecular dynamics is able to accurately predict reactivity only for high translational and low vibrational energies. In contrast, catalytically relevant conditions generally involve low translational and elevated vibrational energies. Existing quantum dynamics approaches are intractable or approximate as a result of the large number of degrees of freedom present in molecule−metal surface reactions. Here, we extend a ring polymer molecular dynamics approach to fully include, for the first time, the degrees of freedom of a moving metal surface. With this approach, experimental sticking probabilities for the dissociative chemisorption of methane on Pt(111) are reproduced for a large range of translational and vibrational energies by including nuclear quantum effects and employing full-dimensional simulations. |
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Wos |
001177959900001 |
Publication Date |
2024-03-07 |
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Edition |
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ISSN |
1948-7185 |
ISBN |
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Additional Links |
UA library record; WoS full record |
Impact Factor |
5.7 |
Times cited |
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Open Access |
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Notes |
Nick Gerrits has been financially supported through a Dutch Research Council (NWO) Rubicon grant (019.202EN.012). The computational resources and services used in this work were provided by the high performance computing (HPC) core facility CalcUA of the Universiteit Antwerpen and the Flemish Supercomputer Center (VSC) funded by the Research Foundation−Flanders (FWO) and the Flemish Government. The authors thank Mark Somers for useful discussions. |
Approved |
Most recent IF: 5.7; 2024 IF: 9.353 |
Call Number |
PLASMANT @ plasmant @c:irua:204818 |
Serial |
9114 |
Permanent link to this record |