首页|Reports from University of North Carolina Chapel Hill Highlight Recent Findings in Machine Learning (Linking Stability With Molecular Geometries of Perovskites and Lanthanide Richness Using Machine Learning Methods)
Reports from University of North Carolina Chapel Hill Highlight Recent Findings in Machine Learning (Linking Stability With Molecular Geometries of Perovskites and Lanthanide Richness Using Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learning have been published. According to newsreporting originating in Chapel Hill, North Carolina, by NewsRx journalists, research stated, “Oxide perovskitematerials of type ABO3 have a wide range of technological applications, such as catalysts in solidoxide fuel cells and as light-absorbing materials in solar photovoltaics. These materials often exhibit differentialstructural and electrostatic properties through their varied A-sites and B-sites especially if they arederived from lanthanides.”
Chapel HillNorth CarolinaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of North Carolina Chapel Hill