首页|Findings from Southeast University in the Area of Machine Learning Described (Accelerating Metal-organic Framework Selection for Type Iii Porous Liquids By Synergizing Machine Learning and Molecular Simulation)
Findings from Southeast University in the Area of Machine Learning Described (Accelerating Metal-organic Framework Selection for Type Iii Porous Liquids By Synergizing Machine Learning and Molecular Simulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting out of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “MOF-basedtype III porous liquids, comprising porous MOFs dissolved in a liquid solvent, have attracted increasingattention in carbon capture. However, discovering appropriate MOFs to prepare porous liquids was stilllimited in experiments, wasting time and energy.”
NanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSoutheast University
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