Robotics & Machine Learning Daily News2024,Issue(Aug.5) :99-99.

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]

Robotics & Machine Learning Daily News2024,Issue(Aug.5) :99-99.

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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Abstract

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.”

Key words

Nanjing/People’s Republic of China/Asi a/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Nanjing Univers ity of Posts and Telecommunications

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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