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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
Research article (Journal of Energy Storage, 2023) · cited 42× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/rigorous-hybrid-machine-learning-approaches-for-interfacial-tension-modeling-in-brine-hydrogen-cushion-gas-systems-impli
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rigorous-hybrid-machine-learning-approaches-for-interfacial-tension-modeling-in-brine-hydrogen-cushion-gas-systems-impli.
BibTeX@misc{4ortxyz_rigorous-hybrid-machine-learning-approaches-for-interfacial-tension-modeling-in-brine-hydrogen-cushion-gas-systems-impli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/rigorous-hybrid-machine-learning-approaches-for-interfacial-tension-modeling-in-brine-hydrogen-cushion-gas-systems-impli}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/rigorous-hybrid-machine-learning-approaches-for-interfacial-tension-modeling-in-brine-hydrogen-cushion-gas-systems-impli (retrieved 2026-05-24)
