首页|Reports Outline Machine Learning Findings from Department of Physics (Prediction of Efficiency for Ksni3 Perovskite Solar Cells Using Supervised Machine Learnin g Algorithms)
Reports Outline Machine Learning Findings from Department of Physics (Prediction of Efficiency for Ksni3 Perovskite Solar Cells Using Supervised Machine Learnin g Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Gujarat, India, by NewsRx corr espondents, research stated, “Machine learning possesses enormouscapability for accelerating materials research. A dataset of 40,845 data points, each containi ng 52 featuresfor KSnI3-based perovskite solar cells (PSCs), was curated in the present study for the first time.”
GujaratIndiaAsiaAlgorithmsCyborg sEmerging TechnologiesMachine LearningDepartment of Physics
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