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Following Paths of Maximum Catalytic Activity in the Composition Space of High-Entropy Alloys

机译:Following Paths of Maximum Catalytic Activity in the Composition Space of High-Entropy Alloys

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摘要

The search for better and cheaper electrocatalysts is vital in the global transitionto renewable energy resources. High-entropy alloys (HEAs) providea near-infinite number of different alloys with approximately continuousproperties such as catalytic activity. In this work, the catalytic activity for theelectrochemical oxygen reduction reaction as a function of molar compositionof Ag-Ir-Pd-Pt-Ru HEA is treated as a landscape wherein it is shown that themaxima are connected through ridges. By following the ridges, it is possibleto navigate between the maxima using a modified nudged elastic band (NEB)model integrated in a machine learning NEB algorithm. These results providea new understanding of the composition space being similar to an evolutionarylandscape. This provides a possible new search and design strategy fornew catalysts in which the composition of known catalysts can be optimizedby following ridges rather than exploring the whole alloy composition space.

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