1,721,036 research outputs found

    Combining experiment and theory for understanding electocatalysis

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    An overview is given of different methods of modern computational chemistry, with emphasis on how, in combination with experiment, the results of such simulations may enhance our understanding of electrochemical and electrocatalytic processes on the molecular level. Recent developments in modeling electrode reactions using Marcus theory and molecular dynamics simulations include treatment of electrode reactions in which bonds with the surface or within the reacting molecule are broken or formed. First-principles electronic structure calculations based on density-functional theory allow the accurate calculation of binding energies and vibrational properties, which are of much interest in comparison with experiment. Inclusion of electric field effects and water in these state-of-the-art simulations also yield unique insight into the properties of the electrochemical interface on the molecular level, and this is certainly a field in which there will be much progress in the not too distant future. Finally, kinetic modeling using mean-field equations or Monte Carlo simulations, preferably combined with input or insight from first-principles calculations, produce voltammetric and chronoamperometric responses, which may be compared to experiment

    De Thermodynamica voorbij in de Elektrochemie

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    Computersimulaties geven de elektrochemie een moleculaire basis. Moderne inzichten in het gedrag van moleculen, oppervlakken en elektronen toegepast op het klassieke vakgebied van de elektrochemie

    Electrocatalysis on bimetallic and alloy surfaces

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    Bimetallic surfaces and alloys are well known to have unique catalytic properties for many important chemical transformations [1]. In electrocatalysis, bimetallic and alloy catalysts have been a particularly active area of research in relation to low-temperature fuel cells [2]. On the anode side, bi- or even tri-metallic electrodes are used to improve the CO tolerance of the hydrogen oxidation or to enhance methanol oxidation activity [3], whereas on the cathode side it has recently been established that for oxygen reduction certain bimetallic surfaces have superior activity compared to pure platinum [4 and 5]. The enhanced catalytic activity of bimetallic surfaces in comparison to pure metal surfaces is usually ascribed to two effects, or a combination thereof: the bifunctional effect in which the unique catalytic properties of each of the elements in the alloy combine in a synergetic fashion to yield a surface which is more active than each of the elements alone, and the ligand or electronic effect, in which one of the elements alters the electronic properties of the other so as to yield a more active catalytic surface. In relation to the issue of CO tolerance and the electrochemical oxidation of CO, bimetallic surfaces have been studied since the early work of Bockris and Wroblowa [6], Janssen and Moolhuysen [7], and, most notably, Watanabe and Motoo [8]. These issues have become more important recently, with the increased emphasis on fuel cells for our energy future. It is now well established that for the electrochemical oxidation of CO on bimetallic surfaces such as PtRu, PtSn and PtMo, the bifunctional effect is the most dominant mechanism. The more oxophylic element Ru or Sn provides the oxygen donor, usually believed to be adsorbed hydroxyl, by activating water at reduced overpotential

    Stripping voltammetry and chronoamperometry of an adsorbed species with repulsive lateral interactions

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    In this paper a simple model is considered for the stripping voltammetry and chronoamperometry of an adsorbed species with repulsive lateral interactions. In the limit of strongly repulsive lateral interactions, the chronoamperometric transient is predicted to be hyperbolic, i.e. to have a t-1 dependence. This dependence is confirmed by both the numerical simulation of the mean-field equations and by the Dynamic Monte Carlo simulations. However, in the analysis of the Dynamic Monte Carlo simulations, inflexion points are found in a log-log plot of the data, corresponding to the formation of ordered configurations on the surface. The stripping voltammetry exhibits broader stripping peaks with increasingly repulsive lateral interactions. An analysis of the peak potential versus the logarithm of the scan rate yields the Tafel slope, irrespective of the strength of the lateral interactions. In the Dynamic Monte Carlo simulations, strong repulsive interactions lead to multiple stripping peaks, the peaks becoming more pronounced with a faster surface diffusion of the adsorbed species. These peaks are related to the existence of ordered configurations on the electrode, whose long-range order is enhanced at faster diffusion rates
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