Zihang Zhao

Dynamic Machine Learning for the Oxygen Evolution Reaction: From Static Catalyst Screening to Working-State Trajectory Learning

Efficient water electrolysis is limited not only by the sluggish kinetics of the oxygen evolution reaction (OER), but also by the dynamic reconstruction and degradation of catalysts under operating bias. Machine learning (ML) has accelerated OER catalyst screening by linking prec...

Pt‐Mediated Co‐Adsorption of Hydroxyl and Nitrogen‐Heterocyclic Species Over Cu/CuO Heterostructure Enhances Coupled Azotriazole Electrosynthesis and Dual‐Electrode Hydrogen Production

ABSTRACT Electrocatalytic N─N oxidative coupling (OC) offers an eco‐friendly approach to produce value‐added azo materials, but suffers from sluggish kinetics and limited Faradaic efficiency (FE). The key fundamental issue is unfavorable competitive adsorption of hydroxyl groups...

Pt‐Mediated Co‐Adsorption of Hydroxyl and Nitrogen‐Heterocyclic Species Over Cu/CuO Heterostructure Enhances Coupled Azotriazole Electrosynthesis and Dual‐Electrode Hydrogen Production

ABSTRACT Electrocatalytic N─N oxidative coupling (OC) offers an eco‐friendly approach to produce value‐added azo materials, but suffers from sluggish kinetics and limited Faradaic efficiency (FE). The key fundamental issue is unfavorable competitive adsorption of hydroxyl groups...