https://doi.org/10.1140/epjb/e2017-80280-7
Regular Article
Computational investigation of CO adsorbed on Aux, Agx and (AuAg)x nanoclusters (x = 1 − 5, 147) and monometallic Au and Ag low-energy surfaces*,**
1 University College London, Kathleen Lonsdale Materials Chemistry, Department of Chemistry, 20 Gordon Street, London WC1H 0AJ, UK
2 The U.K. Catalysis Hub, Research Complex at Harwell, Rutherford Appleton Laboratory, Oxfordshire OX11 0FA, UK
3 Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Cardiff CF10 3AT, UK
a
e-mail: LogsdailA@cardiff.ac.uk
Received: 17 May 2017
Received in final form: 10 July 2017
Published online: 12
February
2018
Density functional theory calculations have been performed to investigate the use of CO as a probe molecule for the determination of the structure and composition of Au, Ag and AuAg nanoparticles. For very small nanoclusters (x = 1 − 5), the CO vibrational frequencies can be directly correlated to CO adsorption strength, whereas larger 147-atom nanoparticles show a strong energetic preference for CO adsorption at a vertex position but the highest wavenumbers are for the bridge positions. We also studied CO adsorption on Au and Ag (100) and (111) surfaces, for a 1 monolayer coverage, which proves to be energetically favourable on atop only and bridge positions for Au (100) and atop for Ag (100); vibrational frequencies of the CO molecules red-shift to lower wavenumbers as a result of increased metal coordination. We conclude that CO vibrational frequencies cannot be solely relied upon in order to obtain accurate compositional analysis, but we do propose that elemental rearrangement in the core@shell nanoclusters, from Ag@Au (or Au@Ag) to an alloy, would result in a shift in the CO vibrational frequencies that indicate changes in the surface composition.
Contribution to the Topical Issue “Shaping Nanocatalysts”, edited by Francesca Baletto, Roy L. Johnston, Jochen Blumberger and Alex Shluger.
Supplementary material in the form of one pdf file available from the Journal web page at https://doi.org/10.1140/epjb/e2017-80280-7
© The Author(s) 2018. This article is published with open access at Springerlink.com
Open Access This is an open access article distributed
under the terms of the Creative Commons Attribution
License (http://creativecommons.org/licenses/by/4.0), which
permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.