Findings from Delft University of Technology Update Knowledge of Machine Learnin g (Probing Machine Learning Models Based On High Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts)

Robotics & Machine Learning Daily News2024，Issue(Aug.20) ：56-57.

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Findings from Delft University of Technology Update Knowledge of Machine Learnin g (Probing Machine Learning Models Based On High Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Delft, Netherlands, by N ewsRx journalists, research stated, “Enantioselective hydrogenationof olefins b y Rh-based chiral catalysts has been extensively studied for more than 50 years. Naively, onewould expect that everything about this transformation is known an d that selecting a catalyst that inducesthe desired reactivity or selectivity i s a trivial task.”

Key words

Delft/Netherlands/Europe/Chemistry/C yborgs/Emerging Technologies/Machine Learning/Delft University of Technology

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出版年

2024

Robotics & Machine Learning Daily News

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