Robotics & Machine Learning Daily News2024,Issue(Nov.21) :45-45.

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)

山东大学进行的研究更新了我们的机械学习知识(关键参数识别有机太阳能电池的Mac Hine学习方法

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :45-45.

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)

山东大学进行的研究更新了我们的机械学习知识(关键参数识别有机太阳能电池的Mac Hine学习方法

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可用。根据消息来源在中华人民共和国济南,NewsRx记者报道,“有机太阳能电池”(OSCs)重量轻、灵活、透明度高,但功率转换效率低目前低于标准。这促使研究人员加强他们的ef堡垒以提高其性能这些设备。

Abstract

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.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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