Unlocking the performance of ternary metal (hydro)oxide amorphous catalysts via data-driven active-site engineering

A machine-learning methodology was applied to unveil the structure–property relationships of the fabricated ternary Ni, Fe, and Co amorphous oxygen evolution catalyst, showcasing remarkable performance and stability via corrosion engineering.