Robotics & Machine Learning Daily News2024,Issue(Jul.12) :1-2.

Findings from Nanjing University of Aeronautics and Astronautics Reveals New Fin dings on Machine Learning (Impart of Heterogeneous Charge Polarization and Distr ibution On Friction At Watergraphene Interfaces: a Density-functional-theory Ba sed …)

Robotics & Machine Learning Daily News2024,Issue(Jul.12) :1-2.

Findings from Nanjing University of Aeronautics and Astronautics Reveals New Fin dings on Machine Learning (Impart of Heterogeneous Charge Polarization and Distr ibution On Friction At Watergraphene Interfaces: a Density-functional-theory Ba sed …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Accurately characterizingfricti on behaviors at water-solid interfaces remains a challenge because of the dynami c nature of watermolecules and temporal variations in solid surface charges. By using a density-functional-theory (DFT)based machine learning (ML) technique a nd long-time ML-parametrized molecular dynamics simulations,we have systematica lly investigated water-induced charge polarization and redistribution on graphen e, aswell as its impact on friction at water-graphene interfaces.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing University of Aeron autics and Astronautics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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