2003
DOI: 10.1016/s0927-7757(02)00331-x
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Comparison of energy-distribution functions calculated for gas–solid and liquid–solid adsorption data

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Cited by 19 publications
(14 citation statements)
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“…73,99,100 These studies are complemented by computational work 101-103 that corroborate surface energies and interfacial structure determined from experiments. For instance, Hase and Schneider and co-workers have used molecular dynamics simulations to predict that n-octane molecules adopt a flat orientation at the vapor/R-alumina interface.…”
Section: Introductionmentioning
confidence: 69%
“…73,99,100 These studies are complemented by computational work 101-103 that corroborate surface energies and interfacial structure determined from experiments. For instance, Hase and Schneider and co-workers have used molecular dynamics simulations to predict that n-octane molecules adopt a flat orientation at the vapor/R-alumina interface.…”
Section: Introductionmentioning
confidence: 69%
“…Validation of simulation predictions. When possible, simulation data should be compared to desorption energies estimated from temperature-programmed desorption experiments (Slayton et al 1995), chromatographic results, and batch techniques (Partyka and Douillard 1995;Askin and Inel 2001;Dabrowski et al 2003;Diaz et al 2004). Electron energy loss spectroscopy (Machida et al 2002) and attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) (Dubowski et al 2004;Almeida et al 2008) can be used to study surface species on flat surfaces.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…Assuming that the local adsorption isotherm has the same functional form for all sites the adsorption isotherm is given by: where is the total uptake at pressure . Inversion of this integral equation allows recovering the distribution function from the experimental isotherm [35][36][37] The above expression can be extended to the evolution of the absorbance of the IR spectra of the adsorbate recorded at equilibrium pressure:…”
Section: Inversion Of Infrared Spectra (2d-iris [33])mentioning
confidence: 99%