首页|Investigators from Jiangxi Normal University Release New Data on Machine Learnin g (Developing Machine Learning Models for Predicting Multiple Physical Propertie s of Ionic Liquids Through a Combined Constitution-structure-interaction Descrip tor)
Investigators from Jiangxi Normal University Release New Data on Machine Learnin g (Developing Machine Learning Models for Predicting Multiple Physical Propertie s of Ionic Liquids Through a Combined Constitution-structure-interaction Descrip tor)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Nanc hang, People’s Republic of China, by NewsRx correspondents, research stated, “Io nic liquids (ILs) have garnered significant research interest due to their wide- range applications in separation, catalysis, and synthesis. However, the combina tion of an extensive quantity of diverse anions and cations makes it a grand cha llenge for traditional methods (theoretical calculations and experiments) to ana lyze the properties of unexplored ILs.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
NanchangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesIonic LiquidsMachine LearningSolventsJ iangxi Normal University
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