首页|Reports Outline Machine Learning Findings from University of South Carolina (Und erstanding the Key Factors for Photoinduced Radical Generation In Crystalline Tr iphenylamines Using Experiment and Machine Learning)
Reports Outline Machine Learning Findings from University of South Carolina (Und erstanding the Key Factors for Photoinduced Radical Generation In Crystalline Tr iphenylamines Using Experiment and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Columbia, South Carolina, by NewsRx correspondents, research stated, “In this study, we combine experiments, calculated properties, and machine learning (ML) to design new triphenylamine-ba sed (TPA) molecules that have a high photoinduced radical (PIR) generation in cr ystals. A data set of 34 crystal structures was extracted from the Cambridge Cry stallographic Data Centre.”
ColumbiaSouth CarolinaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUn iversity of South Carolina.
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