Unravelling Composition–Activity–Stability Trends in High Entropy Alloy Electrocatalysts by Using a Data‐Guided Combinatorial Synthesis Strategy and Computational Modeling

High entropy alloys (HEA) comprise a huge search space for new electrocatalysts. Next to element combinations, the optimization of the chemical composition is essential for tuning HEA to specific catalytic processes. Simulations of electrocatalytic activity can guide experimental efforts. Yet, the c...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Advanced energy materials 2022-02, Vol.12 (8), p.n/a
Hauptverfasser:	Banko, Lars, Krysiak, Olga A., Pedersen, Jack K., Xiao, Bin, Savan, Alan, Löffler, Tobias, Baha, Sabrina, Rossmeisl, Jan, Schuhmann, Wolfgang, Ludwig, Alfred
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemical composition Combinatorial analysis Datasets Deviation Electrocatalysts High entropy alloys high‐throughput experimentation Iridium materials discovery Optimization Palladium Solid solutions Stability Trends
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!