Literature DB >> 25300825

Cooperative interplay of van der Waals forces and quantum nuclear effects on adsorption: H at graphene and at coronene.

Erlend R M Davidson1, Jiří Klimeš, Dario Alfè, Angelos Michaelides.   

Abstract

The energetic barriers that atoms and molecules often experience when binding to surfaces are incredibly important to a myriad of chemical and physical processes. However, these barriers are difficult to describe accurately with current computer simulation approaches. Two prominent contemporary challenges faced by simulation are the role of van der Waals forces and nuclear quantum effects. Here we examine the widely studied model systems of hydrogen on graphene and coronene using a van der Waals inclusive density functional theory approach together with path integral molecular dynamics at 50 K. We find that both van der Waals and quantum nuclear effects work together in a cooperative manner to dramatically reduce the barriers for hydrogen atoms to adsorb. This suggests that the low temperature hydrogenation of graphene is easier than previously thought and in more general terms that the combined roles of van der Waals and quantum tunnelling can lead to qualitative changes in adsorption.

Entities:  

Keywords:  density functional theory; path integral molecular dynamics; quantum nuclear effects; van der Waals forces

Year:  2014        PMID: 25300825     DOI: 10.1021/nn505578x

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  2 in total

1.  Adsorption of dihalogen molecules on pristine graphene surface: Monte Carlo and molecular dynamics simulation studies.

Authors:  Berkay Sütay; Mine Yurtsever
Journal:  J Mol Model       Date:  2017-04-03       Impact factor: 1.810

2.  The sequence to hydrogenate coronene cations: A journey guided by magic numbers.

Authors:  Stéphanie Cazaux; Leon Boschman; Nathalie Rougeau; Geert Reitsma; Ronnie Hoekstra; Dominique Teillet-Billy; Sabine Morisset; Marco Spaans; Thomas Schlathölter
Journal:  Sci Rep       Date:  2016-01-29       Impact factor: 4.379

  2 in total

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