首页|Reports from University of North Dakota Highlight Recent Findings in Machine Lea rning [Machine Learning - Driven Surface Grafting of Thin-fil m Composite Reverse Osmosis (Tfc-ro) Membrane]
Reports from University of North Dakota Highlight Recent Findings in Machine Lea rning [Machine Learning - Driven Surface Grafting of Thin-fil m Composite Reverse Osmosis (Tfc-ro) Membrane]
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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 from Grand Forks, North Dakota, by NewsRx journalists, research stated, “Modifying reverse-osmosis (RO) membrane performa nce is challenging and time-consuming due to the complex interplay of various fa ctors that influence the membrane’s performance. To address this challenge, we h ave explored the potential of using machine-learning (ML) to graft the polyamide (PA) surface of an RO membrane to increase water permeability and overcome the limitations of the permeability/selectivity tradeoff.” Financial supporters for this research include City of Grand Forks, State of Nor th Dakota, American Membrane Technology Association (AMTA), United States Bureau of Reclamation.
Grand ForksNorth DakotaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningU niversity of North Dakota