首页|Research Conducted at Shandong University Has Updated Our Knowledge about Machin e Learning (Identifying the Key Parameters for Organic Solar Cells Using the Mac hine Learning Method)
Research Conducted at Shandong University Has Updated Our Knowledge about Machin e Learning (Identifying the Key Parameters for Organic Solar Cells Using the Mac hine Learning Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originatingfrom Jinan, People’s Republic of China , by NewsRx correspondents, research stated, “Organic solar cells(OSCs) are lig htweight, flexible, and highly transparent; however, their power conversion effi ciency iscurrently subpar. This has motivated researchers to intensify their ef forts to augment the performance ofthese devices.”
JinanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningOrganic Solar CellsSolar Ce llsTechnologyShandong University
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