首页|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)
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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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.”
LiaoningPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningLiaoning Technical Univers ity
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Elsevier
