首页|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)
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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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.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesIonic LiquidsMachine LearningSolventsE ast China University of Science and Technology
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