Litcius/Paper detail

Prediction of hydrogen solubility in aqueous solution using modified mixed effects random forest based on particle swarm optimization for underground hydrogen storage

Grant Charles Mwakipunda, Norga Alloyce Komba, Allou Koffi Franck Kouassi, Edwin Twum Ayimadu, Melckzedeck Michael Mgimba, Mbega Ramadhani Ngata, Long Yu

2024International Journal of Hydrogen Energy30 citationsDOI

Topics & Concepts

SolubilityAqueous solutionParticle swarm optimizationHydrogen storageHydrogenChemistryThermodynamicsMaterials scienceChemical engineeringComputer scienceOrganic chemistryAlgorithmPhysicsEngineeringSolar Radiation and PhotovoltaicsMachine Learning and ELMHybrid Renewable Energy Systems
Prediction of hydrogen solubility in aqueous solution using modified mixed effects random forest based on particle swarm optimization for underground hydrogen storage | Litcius