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

1. Machine-learning based prediction of hydrogen/methane mixture solubility in brine

   Farag M. A. Altalbawy, Mustafa Jassim Al-saray, Krunal Vaghela +9

   МақолаCoal Properties and UtilizationScientific Reports20240 иқтибос

   ABIABI:AkademIndex/openalex/2024.article.001711

2. Robust development of data-driven models for methane and hydrogen mixture solubility in brine

   Kashif Saleem, Abhinav Kumar, KDV Prasad +7

   МақолаAtmospheric and Environmental Gas DynamicsGeomechanics and Geophysics for Geo-Energy and Geo-Resources20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.001044