首页|Findings from Sri Sivasubramaniya Nadar College of Engineering Update Knowledge of Machine Learning (Exploring Mc-silicon Wafers: Utilizing Machine Learning To Enhance Wafer Quality Through Etching Studies)
Findings from Sri Sivasubramaniya Nadar College of Engineering Update Knowledge of Machine Learning (Exploring Mc-silicon Wafers: Utilizing Machine Learning To Enhance Wafer Quality Through Etching Studies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Tamil Nadu, India, by NewsRx editors, research stated, “This paper provides a method for improving the photov oltaic conversion efficiency and optical attributes of silicon solar cells manuf actured from as-cutboron doped p-type multi-crystalline silicon wafers using ac id-based chemical texturization via machinelearning. A decreased reflectance, w hich can be attained by the right chemical etching conditions, is oneof the key elements for raising solar cell efficiency.”
Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningSri Sivasubramaniya Nadar College of Engineering
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