Front Cover: Crystal Structures of Iron‐Based Oxides and Their Catalytic Efficiencies for the Oxygen Evolution Reaction: A Trend in Alkaline Media (ChemElectroChem 9/2022)

The Front Cover illustrates that artificial intelligence facilitates the understanding of science in electrocatalysis on heterogeneous crystalline compounds. Machine learning method demonstrates that alkaline oxygen evolution reaction on iron‐based multimetal oxides is uniquely controlled by a struc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ChemElectroChem 2022-05, Vol.9 (9), p.n/a
Hauptverfasser: Sugawara, Yuuki, Ueno, Satomi, Kamata, Keigo, Yamaguchi, Takeo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The Front Cover illustrates that artificial intelligence facilitates the understanding of science in electrocatalysis on heterogeneous crystalline compounds. Machine learning method demonstrates that alkaline oxygen evolution reaction on iron‐based multimetal oxides is uniquely controlled by a structural descriptor, Fe–O bond length, and the trend is generally applicable regardless of chemical compositions, valence states of iron and structural categories of the crystals. More information can be found in the Research Article by Y. Sugawara et al.
ISSN:2196-0216
2196-0216
DOI:10.1002/celc.202200306