Predicting the rates of photocatalytic hydrogen evolution over cocatalyst-deposited TiO <sub>2</sub> using machine learning with active photon flux as a unifying feature
Yousof Haghshenas, Wei Ping Wong, Denny Gunawan, Alireza Khataee, Ramazan Keyikoğlu, Amir Razmjou, Priyank V. Kumar, Cui Ying Toe, Hassan Masood, Rose Amal, Vidhyasaharan Sethu, Wey Yang Teoh
Abstract
An accurate model for predicting TiO 2 photocatalytic hydrogen evolution reaction (HER) rates is hereby presented.
Topics & Concepts
PhotocatalysisPhotonFlux (metallurgy)Feature (linguistics)HydrogenPhoton fluxMaterials scienceAtomic physicsPhotochemistryChemical engineeringComputer scienceChemistryPhysicsCatalysisOpticsEngineeringMetallurgyQuantum mechanicsBiochemistryPhilosophyLinguisticsAdvanced Photocatalysis TechniquesMachine Learning in Materials ScienceAdvanced Nanomaterials in Catalysis