This research investigates the development of metal sulfide photocatalysts for efficient hydrogen evolution.
Utilized machine learning to predict photocatalyst candidates.
Experimental development of Ag 2 CdGeS 4 and Cu 2 CdMS 4 tested under visible light irradiation.
Machine-learning predicted effective photocatalysts for hydrogen evolution.
Hydrogen production was successfully achieved under visible light.
Abstract
Ag 2 CdGeS 4 and Cu 2 CdMS 4 (M = Ge and Sn) predicted by machine learning were experimentally developed for sacrificial hydrogen evolution under visible light.