首页|Study Results from Wuhan University Broaden Understanding of Machine Learning (M achine Learning Models for the Density and Heat Capacity of Ionic Liquid-water B inary Mixtures)
Study Results from Wuhan University Broaden Understanding of Machine Learning (M achine Learning Models for the Density and Heat Capacity of Ionic Liquid-water B inary Mixtures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Ionic liquids (ILs), because of the advant ages of low volatility, good thermal stability, high gas solubility and easy rec overy, can be regarded as the green substitute for traditional solvent. However, the high viscosity and synthesis cost limits their application, the hybrid solv ent which combining ILs together with others especially water can solve this pro blem.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Laboratory of Hubei Province for Coal Conversion and New Carbon Materials (Wuhan University of Science and Technology).
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesIonic LiquidsMachine LearningSolventsWuha n University
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