首页|Reports Outline Machine Learning Study Findings from Lanzhou University of Techn ology (Machine Learning Study of D:a1:a2 Ternary Organic Solar Cells)
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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NETL
NSTL
Elsevier
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.”
GansuPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningOrganic Solar CellsSolar Ce llsTechnologyLanzhou University of Technology
NETL
NSTL
Elsevier
