Robotics & Machine Learning Daily News2024,Issue(Feb.12) :23-24.DOI:10.1016/j.commatsci.2023.112735

Studies from Northeastern University Further Understanding of Machine Learning (Machine Learning Informed Tetragonal Ratio C/a of Martensite)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :23-24.DOI:10.1016/j.commatsci.2023.112735

Studies from Northeastern University Further Understanding of Machine Learning (Machine Learning Informed Tetragonal Ratio C/a of Martensite)

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Abstract

Researchers detail new data in Machine Learning. According to news reporting from Shenyang, People's Republic of China, by NewsRx journalists, research stated, "Tetragonal ratio (c/a) is a critical structural parameter that heavily decides plenty of performances of tetragonal martensitic materials. Nevertheless, the knowledge about c/a remains limited and there is still no definitive strategy to tailor it." Financial supporters for this research include National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities, Ministry of Education, China - 111 Project.

Key words

Shenyang/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Northeastern University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量66
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