Open access
Jul 2026
Can machine learning uncover viable non-platinum catalysts for hydrogen evolution? An unsupervised clustering approach to transition metal–ligand complexes
This work establishes a new, efficient workflow for catalyst science, shifting the focus from slow, one-by-one candidate evaluation to a rapid, holistic mapping of chemical space to pinpoint the most promising regions for focused experimental investigation.
Achouak Benarbia, Ali S. Alshami, Ayyaz Mustafa et al.
· RSC Advances · 0 citations