首页|Reports Summarize Machine Learning Study Results from National University of Sin gapore [Machine Learning-guided Design and Synthesis of Eco-f riendly Poly(Ethylene Oxide) Membranes for Highefficacy Co2/n2 Separation]
Reports Summarize Machine Learning Study Results from National University of Sin gapore [Machine Learning-guided Design and Synthesis of Eco-f riendly Poly(Ethylene Oxide) Membranes for Highefficacy Co2/n2 Separation]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Singapore, Sin gapore, by NewsRx journalists, research stated, "Machine learning (ML)-guided po lymer design and synthesis will enable the next-generation membrane material dis covery for CO2 capture. Herein, ML is leveraged to establish a structure-perform ance relationship for the eco-friendly poly(ethylene oxide) (PEO) membrane and g uide its design for high-efficacy CO2/N-2 separation." Financial supporters for this research include National Key Research & Development Program of China, Agency for Science Technology & Rese arch (A*STAR), Chevron Singapore Pte Ltd..
SingaporeSingaporeAsiaAcyclic Hydr ocarbonsAlkenesCyborgsEmerging TechnologiesEpoxy CompoundsEthylene Oxi deEthylenesMachine LearningNational University of Singapore
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