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Author Gerrits, N.; Jackson, B.; Bogaerts, A. file  url
doi  openurl
  Title Accurate Reaction Probabilities for Translational Energies on Both Sides of the Barrier of Dissociative Chemisorption on Metal Surfaces Type A1 Journal Article
  Year (down) 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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  Publisher Place of Publication Editor  
  Language Wos 001177959900001 Publication Date 2024-03-07  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1948-7185 ISBN Additional Links UA library record; WoS full record  
  Impact Factor 5.7 Times cited Open Access  
  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  
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