首页|Reports Outline Machine Learning Findings from Department of Solar Energy (A Mac hine Learning Framework for Predicting Device Performance In 2d Metal Halide Per ovskite Photodetector)
Reports Outline Machine Learning Findings from Department of Solar Energy (A Mac hine Learning Framework for Predicting Device Performance In 2d Metal Halide Per ovskite Photodetector)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Gujarat, India, by Ne wsRx editors, research stated, “Two-dimensional (2D) Metal halidePerovskite Pho todetectors (MHP-PDs) have attracted significant attention owing to their promis ingperformance with high responsivity and detectivity compared to the 3D congen ers. However, their performanceis highly reliant on specific material propertie s and measurement conditions.”
GujaratIndiaAsiaCyborgsEmerging TechnologiesMachine LearningDepartment of Solar Energy
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