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)

Robotics & Machine Learning Daily News2024，Issue(Oct.23) ：53-54.

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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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Abstract

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.”

Key words

Columbia/South Carolina/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Un iversity of South Carolina.

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出版年

2024

Robotics & Machine Learning Daily News

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