Findings in the Area of Machine Learning Reported from China Three Gorges Univer sity (Machine Learning As a Characterization Method for Analysis and Design of P erovskite Solar Cells)

Robotics & Machine Learning Daily News2024，Issue(MAY.15) ：71-72.

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Findings in the Area of Machine Learning Reported from China Three Gorges Univer sity (Machine Learning As a Characterization Method for Analysis and Design of P erovskite Solar Cells)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Yichang, People’s Re public of China, by NewsRx correspondents, research stated, “Devicelevel charac terization is the primary means of testing the performance of a device and ident ifying the microscale factors that affect its performance. With the accumulation of data on perovskite solar cells (PSCs), machine learning (ML) may become a po tential tool for characterizing properties of PSCs.”

Key words

Yichang/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/China Three Gorges University

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出版年

2024

Robotics & Machine Learning Daily News

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