Litcius/Paper detail

MIL-Fe-88 derived α-Fe2O3/C@g-C3N4 ternary composite with boosted electrocatalytic activity: OER stability prediction and forecasting via machine learning

Nagesh D. Kolhe, Vinod V. Patil, Abhijit N. Kadam, Santosh S. Sutar, Parth S. Thorat, Tukaram D. Dongale, Vinayak G. Parale, Vaishali Patil, Sultan Alshehri, Mohaseen S. Tamboli, Hassan Zuhaib, Chinho Park, Dattakumar Mhamane, Mukund G. Mali

2025Journal of Industrial and Engineering Chemistry8 citationsDOI

Topics & Concepts

Ternary operationComposite numberStability (learning theory)Materials scienceChemical engineeringComputer scienceMachine learningComposite materialEngineeringProgramming languageElectrocatalysts for Energy ConversionAdvanced Photocatalysis TechniquesElectrochemical Analysis and Applications
MIL-Fe-88 derived α-Fe2O3/C@g-C3N4 ternary composite with boosted electrocatalytic activity: OER stability prediction and forecasting via machine learning | Litcius