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Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage

Hung Vo Thanh, Hemeng Zhang, Zhenxue Dai, Tao Zhang, Suparit Tangparitkul, Baehyun Min

2023International Journal of Hydrogen Energy82 citationsDOI

Topics & Concepts

SolubilityAdaBoostGradient boostingOutlierHydrogenMean squared errorHydrogen storageAqueous solutionComputer scienceMachine learningBoosting (machine learning)Artificial intelligenceChemistryProcess engineeringRandom forestAlgorithmSupport vector machineMathematicsStatisticsEngineeringOrganic chemistryPhysical chemistryPhase Change Materials ResearchSolar-Powered Water Purification MethodsHydrogen Storage and Materials
Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage | Litcius