首页|Data on Machine Learning Reported by Researchers at Nanjing Universityof Posts and Telecommunications [Prediction of Metastable Energy Level Distribution of D3+ (D = Cr and Fe) Doped Phosphors Based On Machine Learning]
Data on Machine Learning Reported by Researchers at Nanjing Universityof Posts and Telecommunications [Prediction of Metastable Energy Level Distribution of D3+ (D = Cr and Fe) Doped Phosphors Based On Machine Learning]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news originating fromNanjing, People’s Republic of China, by NewsRx correspondents, research stated, “The energy level transitionsin phosph or materials critically determine their emission characteristics, and accurately predicting theenergy level distribution of ions in these materials is critical for determining their luminescence behavior.However, reliance on multiple expe rimental methods to determine energy level distributions is inefficient,consumi ng both time and resources.”
NanjingPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningNanjing Univers ity of Posts and Telecommunications
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