Topics in Catalysis

, Volume 57, Issue 1–4, pp 106–117 | Cite as

Simulating Temperature Programmed Desorption of Oxygen on Pt(111) Using DFT Derived Coverage Dependent Desorption Barriers

  • Spencer D. Miller
  • Vladimir V. Pushkarev
  • Andrew J. Gellman
  • John R. Kitchin
Original Paper

Abstract

The dissociative adsorption energy of oxygen on Pt(111) is known to be coverage dependent. Simple Redhead analysis of temperature programmed desorption (TPD) experiments that assumes a coverage independent desorption barrier can lead to errors in estimated properties such as desorption barriers and adsorption energies. A simple correction is to assume a linear coverage dependence of the desorption barrier, but there is usually no formal justification given for that functional form. More advanced TPD analysis methods that are suitable for determining coverage dependent adsorption parameters are limited by their need for large amounts of high quality, low noise data. We present a method to estimate the functional form of the coverage dependent desorption barrier from density functional theory calculations for use in analysis of TPD spectra. Density functional theory was employed to calculate the coverage dependence of the adsorption energy. Simulated TPD spectra were then produced by empirically scaling the DFT based adsorption energies utilizing the Brønstead–Evans–Polyani relationship between adsorption energies and desorption barriers. The resulting simulated spectra show better agreement with the experimental spectra than spectra predicted using barriers that are either coverage-independent or simply linearly dependent on coverage. The empirically derived scaling of the desorption barriers for Pt(111) is shown to be useful in predicting the low coverage desorption barriers for oxygen desorption from other metal surfaces, which showed reasonable agreement with the reported experimental values for those other metals.

Keywords

Coverage dependence Temperature programmed desorption Density functional theory Late transition metals 

Supplementary material

11244_2013_166_MOESM1_ESM.pdf (11.2 mb)
Supplementary material 1 (PDF 11424 KB)

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Spencer D. Miller
    • 1
  • Vladimir V. Pushkarev
    • 1
  • Andrew J. Gellman
    • 1
  • John R. Kitchin
    • 1
  1. 1.Department of Chemical EngineeringCarnegie Mellon UniversityPittsburghUSA

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