Chem Catalysis_Cover Picture

Sep 16, 2021

Volume 1Issue 4p749-956

Machine-learning potentials constructed by a first-principle computational database revealed a promising ternary nanocatalyst (PtFeCu) toward oxygen-reduction reaction with extraordinary speed and minimal computational cost. The performance of the candidate was validated by experiments, exhibiting 3-fold better activity and outstanding electrochemical stability. The catalysis is a key and long-standing hurdle for developing various renewable energy devices of high efficiency. For more information, see the article by Chun et al. on page 855.

https://www.cell.com/chem-catalysis/issue?pii=S2667-1093(21)X0005-X

Image created by Younghee Lee / CUBE3D Graphic.