Robotics & Machine Learning Daily News2024,Issue(Aug.26) :49-49.

Study Data from Integral University Update Understanding of Machine Learning (In terpretable Ai and Machine Learning Classification for Identifying High-efficien cy Donor-acceptor Pairs In Organic Solar Cells)

Robotics & Machine Learning Daily News2024,Issue(Aug.26) :49-49.

Study Data from Integral University Update Understanding of Machine Learning (In terpretable Ai and Machine Learning Classification for Identifying High-efficien cy Donor-acceptor Pairs In Organic Solar Cells)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Lucknow, India, by N ewsRx correspondents, research stated, “To enhance the efficiencyof organic sol ar cells, accurately predicting the efficiency of new pairs of donor and accepto r materialsis crucial. Presently, most machine learning studies rely on regress ion models, which often struggle toestablish clear rules for distinguishing bet ween high- and low-performing donor-acceptor pairs.”

Key words

Lucknow/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Organic Solar Cells/Solar Cells/Technology/In tegral University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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