首页|New Findings from Max-Planck-Institute for Microstructure Physics Update Underst anding of Machine Learning (Searching Materials Space for Hydride Superconductor s At Ambient Pressure)
New Findings from Max-Planck-Institute for Microstructure Physics Update Underst anding of Machine Learning (Searching Materials Space for Hydride Superconductor s At Ambient Pressure)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Halle, Germany , by NewsRx correspondents, research stated, “A machine-learningassistedapproa ch is employed to search for superconducting hydrides under ambient pressure wit hin anextensive dataset comprising over 150 000 compounds. The investigation yi elds approximate to 50 systemswith transition temperatures surpassing 20 K, and some even reaching above 70 K. These compounds havevery different crystal stru ctures, with different dimensionality, chemical composition, stoichiometry, andarrangement of the hydrogens.”
HalleGermanyEuropeCyborgsEmergin g TechnologiesMachine LearningMax-Planck-Institute for Microstructure Physic s
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