Robotics & Machine Learning Daily News2024,Issue(Jan.8) :68-69.

Reports from Beijing University of Chemical Technology Provide New Insights into Machine Learning (Predicting Natural Rubber Crystallinity By a Novel Machine Learning Algorithm Based On Molecular Dynamics Simulation Data)

Robotics & Machine Learning Daily News2024,Issue(Jan.8) :68-69.

Reports from Beijing University of Chemical Technology Provide New Insights into Machine Learning (Predicting Natural Rubber Crystallinity By a Novel Machine Learning Algorithm Based On Molecular Dynamics Simulation Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Machine Learning are discussed in a new report. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Natural rubber (NR) withexcellent mechanical properties, mainly attributed to its strain-induced crystallization (SIC), has garneredsignificant scientific and technological interest. With the aid of molecular dynamics (MD) simulations, wecan investigate the impacts of crucial structural elements on SIC on the molecular scale.”

Key words

Beijing/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physics/Beijing University of Chemical Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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