Robotics & Machine Learning Daily News2024,Issue(Mar.14) :38-39.

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 ...)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :38-39.

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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Abstract

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).

Key words

College Park/Maryland/United States/N orth and Central America/Cyborgs/Elements/Emerging Technologies/Gases/Hydro gen/Inorganic Chemicals/Machine Learning/University of Maryland

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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