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Ultralow reaction barriers for CO oxidation in Cu–Au nanoclusters

机译:Cu-Au纳米团簇中CO氧化的超低反应势垒

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Systematic structure prediction of CunAum nanoclusters was carried out for a wide compositional area (n + m ≤ 15) using the evolutionary algorithm USPEX and DFT calculations. The obtained structural data allowed us to assess the local stability of clusters and their suitability for catalysis of CO oxidation. Using these two criteria, we selected several most promising clusters for an accurate study of their catalytic properties. The adsorption energies of reagents, reaction paths, and activation energies were calculated. We found several cases with low activation energies and explained these cases using the patterns of structural change at the moment of CO2 desorption. The unique case is the Cu7Au6 cluster, which has extremely low activation energies for all transition states (below 0.05 eV). We thus showed that higher flexibility due to the binary nature of nanoclusters makes it possible to achieve the maximum catalytic activity. Considering the lower price of copper, Cu–Au nanoparticles are a promising new family of catalysts.
机译:采用进化算法USPEX和DFT计算,对较宽组成区域(n + m ≤ 15)的CunAum纳米团簇进行了系统结构预测。获得的结构数据使我们能够评估团簇的局部稳定性及其对CO氧化催化的适用性。使用这两个标准,我们选择了几个最有前途的团簇来准确研究它们的催化性能。计算了试剂的吸附能、反应路径和活化能。我们发现了几种活化能低的情况,并使用 CO2 解吸时的结构变化模式来解释这些情况。独特的情况是Cu7Au6团簇,它对所有过渡态(低于0.05 eV)都具有极低的活化能。因此,我们表明,由于纳米团簇的二元性质,更高的灵活性使得实现最大的催化活性成为可能。考虑到铜的价格较低,Cu-Au纳米颗粒是一个很有前途的新型催化剂家族。

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