Desorption kinetics from a surface derived from direct imaging of the adsorbate layer
S. Günther (),
T. O. Menteş,
M. A. Niño,
A. Locatelli,
S. Böcklein and
J. Wintterlin ()
Additional contact information
S. Günther: Technische Universität München
T. O. Menteş: Elettra-Sincrotrone Trieste S.C.p.A. S.S. 14 - km 163
M. A. Niño: Elettra-Sincrotrone Trieste S.C.p.A. S.S. 14 - km 163
A. Locatelli: Elettra-Sincrotrone Trieste S.C.p.A. S.S. 14 - km 163
S. Böcklein: Ludwig-Maximilians-Universität München
J. Wintterlin: Ludwig-Maximilians-Universität München
Nature Communications, 2014, vol. 5, issue 1, 1-8
Abstract:
Abstract There are numerous indications that adsorbed particles on a surface do not desorb statistically, but that their spatial distribution is important. Evidence almost exclusively comes from temperature-programmed desorption, the standard method for measuring desorption rates. However, this method, as a kinetics experiment, cannot uniquely prove an atomic mechanism. Here we report a low-energy electron microscopy investigation in which a surface is microscopically imaged while simultaneously temperature-programmed desorption is recorded. The data show that during desorption of oxygen molecules from a silver single crystal surface, islands of oxygen atoms are present. By correlating the microscopy and the kinetics data, a model is derived that includes the shapes of the islands and assumes that the oxygen molecules desorb from the island edges. The model quantitatively reproduces the complex desorption kinetics, confirming that desorption is affected by islands and that the often used mean-field treatment is inappropriate.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/ncomms4853 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4853
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms4853
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().