Robotics & Machine Learning Daily News2024,Issue(Mar.19) :57-57.DOI:10.1016/j.orgel.2023.106988

Reports Outline Machine Learning Study Findings from Lanzhou University of Techn ology (Machine Learning Study of D:a1:a2 Ternary Organic Solar Cells)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :57-57.DOI:10.1016/j.orgel.2023.106988

Reports Outline Machine Learning Study Findings from Lanzhou University of Techn ology (Machine Learning Study of D:a1:a2 Ternary Organic Solar Cells)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Gansu, People’ s Republic of China, by NewsRx journalists, research stated, “Introducing third component into donor:acceptor heterojunction provide new dimension to improve po wer conversion efficiency of organic solar cells (OSCs). However, the combining different donors and acceptors, as well as optimizing fabricating procedures are exhaust and tedious by experiment for ternary OSCs.”

Key words

Gansu/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Organic Solar Cells/Solar Ce lls/Technology/Lanzhou University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量2
参考文献量66
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