首页|Findings from South China University of Technology Yields New Data on Machine Le arning (Highly Versatile and Accurate Machine Learning Methods for Predicting Pe rovskite Properties)
Findings from South China University of Technology Yields New Data on Machine Le arning (Highly Versatile and Accurate Machine Learning Methods for Predicting Pe rovskite Properties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating from Guan gzhou, People’s Republic of China, by NewsRx correspondents,research stated, “T he determination of band gaps in unidentified materials has substantial importan cefor photovoltaic applications. In this research we used machine learning tech niques to predict the bandgap of perovskite materials within an acceptable marg in of error.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningSouth China University of Technology
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