首页|Findings on Machine Learning Detailed by Investigators at Lanzhou University of Technology (Machine Learning Study On the Virtual Screening of Donor-acceptor Pa irs for Organic Solar Cells)
Findings on Machine Learning Detailed by Investigators at Lanzhou University of Technology (Machine Learning Study On the Virtual Screening of Donor-acceptor Pa irs for Organic Solar Cells)
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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 newsreporting from Gansu, People’s Republ ic of China, by NewsRx journalists, research stated, “The selectionof electron donors and nonfullerene acceptors (NFAs) in organic solar cells (OSCs) is crucia l for improvingphotovoltaic performance. Machine learning (ML) has brought a br eakthrough solution.”
GansuPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningOrganic Solar CellsSolar Ce llsTechnologyLanzhou University of Technology
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