Identification of surface species by vibrational normal mode analysis. A DFT study

Zhi Jian Zhao, Alexander Genest, Notker Rösch

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Infrared spectroscopy is an important experimental tool for identifying molecular species adsorbed on a metal surface that can be used in situ. Often vibrational modes in such IR spectra of surface species are assigned and identified by comparison with vibrational spectra of related (molecular) compounds of known structure, e. g., an organometallic cluster analogue. To check the validity of this strategy, we carried out a computational study where we compared the normal modes of three C2Hx species (x = 3, 4) in two types of systems, as adsorbates on the Pt(111) surface and as ligands in an organometallic cluster compound. The results of our DFT calculations reproduce the experimental observed frequencies with deviations of at most 50 cm−1. However, the frequencies of the C2Hx species in both types of systems have to be interpreted with due caution if the coordination mode is unknown. The comparative identification strategy works satisfactorily when the coordination mode of the molecular species (ethylidyne) is similar on the surface and in the metal cluster. However, large shifts are encountered when the molecular species (vinyl) exhibits different coordination modes on both types of substrates.

Original languageEnglish
Pages (from-to)233-240
Number of pages8
JournalSurface Science
Volume664
DOIs
StatePublished - Oct 2017

Keywords

  • Density functional theory
  • Ethylene
  • Ethylidyne
  • Pt(111)
  • Surface species
  • Vibrational normal mode analysis

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