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Optimization of g-C3N4 synthesis parameters based on machine learning to predict the efficiency of photocatalytic hydrogen production

Veronika Yu. Yurova, K. O. Potapenko, Timur A. Aliev, Ekaterina A. Kozlova, Ekaterina V. Skorb

2024International Journal of Hydrogen Energy34 citationsDOI

Topics & Concepts

PhotocatalysisHydrogen productionProduction (economics)HydrogenComputer scienceMaterials scienceProcess engineeringChemistryCatalysisEngineeringOrganic chemistryEconomicsMacroeconomicsAdvanced Photocatalysis TechniquesGas Sensing Nanomaterials and SensorsMachine Learning in Materials Science
Optimization of g-C3N4 synthesis parameters based on machine learning to predict the efficiency of photocatalytic hydrogen production | Litcius