Robotics & Machine Learning Daily News2024,Issue(Jul.17) :28-28.

New Machine Learning Findings from Xi’an Shiyou University Described (Machine Le arning Guided Efficiency Improvement for Snbased Perovskite Solar Cells With Ef ficiency Exceeding 20%)

Robotics & Machine Learning Daily News2024,Issue(Jul.17) :28-28.

New Machine Learning Findings from Xi’an Shiyou University Described (Machine Le arning Guided Efficiency Improvement for Snbased Perovskite Solar Cells With Ef ficiency Exceeding 20%)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofXi’an, People’s Republic of China, by NewsRx editors, research stated, “Eco-friendly lead-free tin (Sn)-basedpero vskites have drawn much attention in the field of photovoltaics, and the highest power conversionefficiency (PCE) of Sn-based perovskite solar cells (PSCs) has been recently approaching 15%. However,the PCE improvement of Sn- based PSCs has reached bottleneck, and an unambiguous guidance beyondtraditiona l trial-and-error process is highly desired for further boosting their PCE.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xi’an Shiyou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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