Robotics & Machine Learning Daily News2024,Issue(Feb.27) :38-39.DOI:10.1002/adfm.202315177

Researchers from Beihang University Detail New Studies and Find- ings in the Area of Machine Learning (Machine Learning In Soft Matter: From Simulations To Experiments)

Robotics & Machine Learning Daily News2024,Issue(Feb.27) :38-39.DOI:10.1002/adfm.202315177

Researchers from Beihang University Detail New Studies and Find- ings in the Area of Machine Learning (Machine Learning In Soft Matter: From Simulations To Experiments)

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Abstract

2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Soft matter with diverse functionalities that are easily designable has fascinated tremendous research interests in the past several decades. Nevertheless, the inherent confluence of time and length scale ubiquitous in soft matter immensely complicates the elucidation of the structure-property relationship and thereby severely impedes the function exploration of soft materials.” Funders for this research include National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central University, Fundamental Research Funds for the Central University from Beihang University.

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Beihang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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