Reports from Qingdao University of Science and Technology Highlight Recent Findi ngs in Machine Learning (Insight Into the Mechanism of Machine Learning Models f or Predicting Ionic Liquids Toxicity Based On Molecular Structure Descriptors)

Robotics & Machine Learning Daily News2024，Issue(Dec.12) ：49-50.

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Reports from Qingdao University of Science and Technology Highlight Recent Findi ngs in Machine Learning (Insight Into the Mechanism of Machine Learning Models f or Predicting Ionic Liquids Toxicity Based On Molecular Structure Descriptors)

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Abstract

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 originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “The developmentand applicat ion of functionalized ionic liquids (ILs) are currently hot topics in chemical e ngineering.However, research on ILs toxicity is significantly lagging behind st udies on their physical properties andapplications.”

Key words

Qingdao/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Engineering/Ionic Liquids/Machine Learning/Solvents/Qingdao University of Science and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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