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Interpretable knowledge-guided machine learning for prediction wettability hydrogen-rocks/minerals-brine system in underground hydrogen storage project

Hung Vo Thanh

2025International Journal of Hydrogen Energy8 citationsDOI

Topics & Concepts

Machine learningArtificial intelligenceWettingComputer scienceBoosting (machine learning)Benchmark (surveying)Work (physics)Gradient boostingNaive Bayes classifierProcess (computing)Substrate (aquarium)Process engineeringHydrogenMean squared errorBayesian inferenceSurface tensionPreference learningTask (project management)Data miningContact angleMaterials scienceSuperhydrophilicityDrilling and Well EngineeringHydrocarbon exploration and reservoir analysisGeophysical and Geoelectrical Methods
Interpretable knowledge-guided machine learning for prediction wettability hydrogen-rocks/minerals-brine system in underground hydrogen storage project | Litcius