2003
DOI: 10.1016/j.susc.2003.09.035
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The analysis of temperature programmed desorption experiments of systems with lateral interactions; implications of the compensation effect

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Cited by 67 publications
(79 citation statements)
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References 24 publications
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“…The second possibility is commonly known as the compensation effect, 20,[23][24][25][26][27] in which E d (θ) and ν n (θ) may vary with θ, but the product ν n (θ) exp[-E d (θ)/kT] is nearly constant. It is not possible to know if such compensation effects will be present on a particular system a priori, and applying eq 5 to a single-TPD data set where this is not the case will result in erroneous E d and ν n values.…”
Section: Analysis Methodsmentioning
confidence: 99%
“…The second possibility is commonly known as the compensation effect, 20,[23][24][25][26][27] in which E d (θ) and ν n (θ) may vary with θ, but the product ν n (θ) exp[-E d (θ)/kT] is nearly constant. It is not possible to know if such compensation effects will be present on a particular system a priori, and applying eq 5 to a single-TPD data set where this is not the case will result in erroneous E d and ν n values.…”
Section: Analysis Methodsmentioning
confidence: 99%
“…More complex and accurate methods exist for TPD analysis, 52 but the complexity of the chemical systems and the overlap of peaks make the Redhead method more suitable.…”
Section: Figure 1 Xps Spectra Acquired At Different Temperatures Stamentioning
confidence: 99%
“…The overall rate law for escape from the Knudsen cell can be approximated by Equation (6) and the apparent rate constant, :…”
Section: Ie-smentioning
confidence: 99%
“…Ordinary linear least squares provides a single set of rate parameters for each series of rate constants, and so does not provide information on time-varying effects such as lateral interactions between absorbed species [6], mass and heat transfer processes [7], shape selectivity [8], surface heterogeneity and restructuring [9]. Flexible least squares can exactly simulate each data set by varying each of the parameters at each temperature.…”
Section: Introductionmentioning
confidence: 99%