首页|Oak Ridge National Laboratory Reports Findings in Machine Learning (Investigatin g Permselectivity in PVDF Mixed Matrix Membranes Using Experimental Optimization , Machine Learning Segmentation, and Statistical Forecasting)
Oak Ridge National Laboratory Reports Findings in Machine Learning (Investigatin g Permselectivity in PVDF Mixed Matrix Membranes Using Experimental Optimization , Machine Learning Segmentation, and Statistical Forecasting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to news reportingoriginating from Oak Ridge, T ennessee, by NewsRx correspondents, research stated, “This researchexamines the correlation between interfacial characteristics and membrane distillation (MD) performanceof copper oxide (Cu) nanoparticle-decorated electrospun carbon nanof ibers (CNFs) polyvinylidene fluoride(PVDF) mixed matrix membranes. The membrane s were fabricated by a bottom-up phase inversionmethod to incorporate a range o f concentrations of CNF and Cu + CNF particles in the polymer matrixto tune the porosity, crystallinity, and wettability of the membranes.”
Oak RidgeTennesseeUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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