Streamlined Design of a Radiology Workstation for Clinical Applications

Gamboa-Aldeco, Arturo; Fellingham, Linda L.; Ullrich, Christopher G.

doi:10.1007/978-3-662-00807-2_188

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“…In this section we report some preliminary results of our ongoing study of (bi)sulfate electrosorption on Rh(111) single crystals. Details will be reported elsewhere 21,22]. In addition to the surface-speci c narrowing of the CV peak upon the addition of sulfuric acid to the supporting electrolyte, the experimental observations to which we have attempted to t a lattice-gas model are as follows.…”

Section: (Bi)sulfate On Rh(111)mentioning

confidence: 99%

Computational lattice-gas modeling of the electrosorption of small molecules and ions

et al. 1995

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We present two recent applications of lattice-gas modeling techniques to electrochemical adsorption on catalytically active metal substrates: urea on Pt (100) and (bi)sulfate on Rh(111). Both systems involve the speci c adsorption of small molecules or ions on well-characterized single-crystal electrodes, and they provide a particularly good t between the adsorbate geometry and the substrate structure. The close geometric t facilitates the formation of ordered submonolayer adsorbate phases in a range of electrode potential positive of the range in which an adsorbed monolayer of hydrogen is stable. In both systems the ordered-phase region is separated from the adsorbed-hydrogen region by a phase transition, signi ed in cyclic voltammograms by a sharp current peak. Based on data from in situ radiochemical surface concentration measurements, cyclic voltammetry, and scanning tunneling microscopy, and ex situ Auger electron spectroscopy and low-energy electron di raction, we have developed speci c lattice-gas models for the two systems. These models were studied by group-theoretical ground-state calculations and numerical Monte Carlo simulations, and e ective lattice-gas interaction parameters were determined so as to provide agreement with the experimental results.

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Section: (Bi)sulfate On Rh(111)mentioning

confidence: 99%