Robotics & Machine Learning Daily News2024,Issue(Mar.18) :107-108.DOI:10.1016/j.scriptamat.2023.115921

Investigators from Liaoning Technical University Zero in on Machine Learning (Le ngth-scale Effect On the Hardness of Metallic/ceramic Multilayered Composites: a Machine Learning Prediction)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :107-108.DOI:10.1016/j.scriptamat.2023.115921

Investigators from Liaoning Technical University Zero in on Machine Learning (Le ngth-scale Effect On the Hardness of Metallic/ceramic Multilayered Composites: a Machine Learning Prediction)

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Abstract

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 out of Liaoning, People’s Republic of Chi na, by NewsRx editors, research stated, “The length-scale effect on the hardness of Al/Si3N4 multilayered composites were investigated via combined experimental and machine learning approaches. It was found that the hardness decreases with increase of the individual layer thickness, in agreement with the classic Hall-P etch relation.”

Key words

Liaoning/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Liaoning Technical Univers ity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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