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.”