首页|Recent Findings from IMDEA Materials Institute Has Provided New Information abou t Machine Learning (Application of Machine Learning To Discover New Intermetalli c Catalysts for the Hydrogen Evolution and the Oxygen Reduction Reactions)
Recent Findings from IMDEA Materials Institute Has Provided New Information abou t Machine Learning (Application of Machine Learning To Discover New Intermetalli c Catalysts for the Hydrogen Evolution and the Oxygen Reduction Reactions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromMadrid, Spain, by NewsRx journalists , research stated, “The adsorption energies for hydrogen, oxygen,and hydroxyl w ere calculated by means of density functional theory on the lowest energy surfac e of 24pure metals and 332 binary intermetallic compounds with stoichiometries AB, A2B, and A3B taking intoaccount the effect of biaxial elastic strains. This information was used to train two random forest regressionmodels, one for the hydrogen adsorption and another for the oxygen and hydroxyl adsorption, based on 9descriptors that characterized the geometrical and chemical features of the a dsorption site as well as theapplied strain.”
MadridSpainEuropeChalcogensCybor gsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachi ne LearningIMDEA Materials Institute
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