Investigators at East China University of Science and Technology Discuss Finding s in Machine Learning (Prediction of Electrical Conductivity of Ionic Liquids: F rom Cosmo-rs Derived Qspr Evaluation To Boosting Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(MAY.17) ：45-46.

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Investigators at East China University of Science and Technology Discuss Finding s in Machine Learning (Prediction of Electrical Conductivity of Ionic Liquids: F rom Cosmo-rs Derived Qspr Evaluation To Boosting Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Shanghai, People’s Rep ublic of China, by NewsRx journalists, research stated, “By virtue of their tuna ble physicochemical and electrochemical properties, ionic liquids (ILs) provide a promising solution for enhancing the performance and safety of batteries. Towa rd efficient design of IL-based electrolytes, a reliable electrical conductivity (kappa) prediction model is highly desirable.”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Ionic Liquids/Machine Learning/Solvents/E ast China University of Science and Technology

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2024

Robotics & Machine Learning Daily News

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