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COMPUTATIONAL MODELING OF NANOSTRUCTURED CERIA FOR THE RATIONAL DESIGN OF CATALYTIC MATERIALS

机译:纳米结构催化材料理性设计的纳米结构模拟

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Ceria-based supports are widely used in heterogeneous catalysis mainly due to their redox properties and the resulting oxygen storage capacity. During the last decades, studies involving well-defined ceria surfaces of model catalysts have been combined with computational modeling of extended surfaces based on the Density Functional Theory (DFT), successfully characterizing the interaction of different molecular adsorbates or metal species with these systems. Nevertheless, as happens with some other materials, the properties of ceria are seen to change dramatically at the nanoscale. To study nanostructured ceria, representative nano-sized particle models were generated by means of global optimization techniques involving DFT-methods and interionic potentials.[1] These models were thereafter used to investigate the interaction of nanostructured ceria with Pt species in combination with experimental techniques involving model systems. The focus of these studies has also been on the peculiarities with respect to having an extended surface of ceria as a support.
机译:基于Ceria的支撑件广泛用于异质催化,主要是由于它们的氧化还原性能和所得的氧气储存能力。在过去的几十年中,涉及模型催化剂明确定义的二氧化铈表面的研究已经基于密度泛函理论(DFT),成功地表征不同分子吸附或金属物种与这些系统的相互作用的组合。然而,与其他一些材料发生一样,可以看到Ceria的性质在纳米级上显着变化。为了研究纳米结构化的二氧化铈,通过涉及DFT-方法和离子间的电位全局优化技术装置产生代表纳米尺寸的粒子模型。[1]这些模型后用于研究在与包括模型系统的实验技术相结合的Pt纳米结构物质的氧化铈的相互作用。这些研究的焦点也一直在具有延长的Ceria的延长表面作为载体的特性。

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