Research Management System | Persian Gulf University | Mohammad Behnam nia

	Title	Journal
1	From empirical to intelligent: ML-enhanced parachor modeling of gas (H2,CO2, CH4, and N2)–water interfacial tension for applications in energy storage and carbon sequestration	Results in Engineering 28 (2025) 1-17
2	Leveraging AI for accurate prediction of hydrogen density (in pure/mixed Form): Implications for hydrogen energy transition processes	RENEWABLE ENERGY 251 (2025) 1-13
3	Robust modelling of wettability for hydrogen geo-storage in sandstone formations incorporating the role of cushion gas: Application of data-driven strategies in gas-sandstone-water systems	Energy Nexus 19 (2025) 1-13
4	Artificial intelligence‑based framework for precise prediction of asphaltene particle aggregation kinetics in petroleum recovery	Scientific Reports 13 (2023) 1-15
5	Rigorous hybrid machine learning approaches for interfacial tension modeling in brine-hydrogen/cushion gas systems: Implication for hydrogen geo-storage in the presence of cushion gas	Journal of Energy Storage 73 (2023) 108995-109009
6	Hybrid artificial intelligence paradigms for modeling of water-gas (pure/mixture) interfacial tension	Journal of Natural Gas Science and Engineering 108 (2022) 104812-...