Login / Signup

Deeper mechanistic insights into epitaxial nickelate electrocatalysts for the oxygen evolution reaction.

Ellen Marijn KiensMin-Ju ChoiLuhan WeiQiyang LuLe WangChristoph Baeumer
Published in: Chemical communications (Cambridge, England) (2023)
Mass production of green hydrogen via water electrolysis requires advancements in the performance of electrocatalysts, especially for the oxygen evolution reaction. In this feature article, we highlight how epitaxial nickelates act as model systems to identify atomic-level composition-structure-property-activity relationships, capture dynamic changes under operating conditions, and reveal reaction and failure mechanisms. These insights guide advanced electrocatalyst design with tailored functionality and superior performance. We conclude with an outlook for future developments via operando characterization and multilayer electrocatalyst design.
Keyphrases
  • machine learning
  • deep learning
  • single cell
  • genome wide
  • current status
  • electron transfer
  • metal organic framework
  • gene expression
  • dna methylation
  • neural network
  • visible light