首页|Study Results from University of Montpellier in the Area of Machine Learning Rep orted (Machine Learning Potential for Modelling H2 Adsorption/diffusion In Mofs With Open Metal Sites)
Study Results from University of Montpellier in the Area of Machine Learning Rep orted (Machine Learning Potential for Modelling H2 Adsorption/diffusion In Mofs With Open Metal Sites)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Montpellier,France, by NewsRx editors, resea rch stated, “Metal-organic frameworks (MOFs) incorporating open metalsites (OMS ) have been identified as promising sorbents for many societally relevant-adsorp tion applicationsincluding CO2 capture, natural gas purification and H-2 storag e. This has been ascribed to strong specificinteractions between OMS and the gu est molecules that enable the MOF to achieve an effective captureeven under low gas pressure conditions.”
MontpellierFranceEuropeCyborgsEm erging TechnologiesMachine LearningMolecular DynamicsPhysicsUniversity of Montpellier
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