首页|New Machine Learning Data Have Been Reported by Researchers at University of Mar yland (Hydrogen Bonding Inside Anionic Polymeric Brush Layer: Machine Learning-d riven Exploration of the Relative Roles of the Polymer Steric Effect, Charging, and ...)
New Machine Learning Data Have Been Reported by Researchers at University of Mar yland (Hydrogen Bonding Inside Anionic Polymeric Brush Layer: Machine Learning-d riven Exploration of the Relative Roles of the Polymer Steric Effect, Charging, and ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from College Park, Maryl and, by NewsRx correspondents, research stated, “This paper employs a combinatio n of all-atom molecular dynamics (MD) simulations and unsupervised machine learn ing (ML) for studying the water-water hydrogen bonds (HBs) inside the anionic po ly acrylic acid (PAA) brushes modeled using all-atom MD simulations. PAA brush l ayer with different charge fraction (f), namely, f = 0, 0.25, and 1, is consider ed.” Funders for this research include United States Department of Energy (DOE), Unit ed States Department of Energy (DOE).
College ParkMarylandUnited StatesN orth and Central AmericaCyborgsElementsEmerging TechnologiesGasesHydro genInorganic ChemicalsMachine LearningUniversity of Maryland
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