首页|Researchers from Nanning Normal University Describe Findings in Machine Learning (Water Molecule Diffusion In Graphene Oxide: Exploiting Machine Learning Algori thms for Advantages and Insights)
Researchers from Nanning Normal University Describe Findings in Machine Learning (Water Molecule Diffusion In Graphene Oxide: Exploiting Machine Learning Algori thms for Advantages and Insights)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Nanning, People’s Republic of China, by NewsRx correspondents, research stated, “Graphene oxide(GO) membranes have attracted much attention due to their wide applications in areas such as d esalinationand water filtration. In this work, we have compared four machine le arning (ML) algorithms (Bagging,XGBoost, AdaBoost, and RF) with molecular dynam ics simulation (MD) results as the database to predictthe water diffusion affec ted by crucial GO structure features such as the oxidation degree and interlayerspacing.”
NanningPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningNanning Normal University
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