Robotics & Machine Learning Daily News2024,Issue(Nov.1) :105-106.

Data from Shanghai Jiao Tong University Advance Knowledge in Machine Learning (A Machine Learning Strategy for Enhancing the Strength and Toughness In Metal Mat rix Composites)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :105-106.

Data from Shanghai Jiao Tong University Advance Knowledge in Machine Learning (A Machine Learning Strategy for Enhancing the Strength and Toughness In Metal Mat rix Composites)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Shanghai, People’s R epublic of China, by NewsRx editors, research stated, “Particlereinforced metal matrix composites (MMCs) are highly sought after for various applications due t o their robust mechanical properties containing high strength and high elastic m odulus. However, the introduction of highly rigid particles inevitably causes dr astic degradation of toughness, resulting in the trade-off between strength and toughness in MMCs.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai Jiao Tong Univers ity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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