Robotics & Machine Learning Daily News2024,Issue(Jul.18) :11-12.

Findings from Chinese Academy of Sciences in Nanocrystals Reported (Interpretabl e Machine Learning-assisted Design of Febased Nanocrystalline Alloys With High Saturation Magnetic Induction and Low Coercivity)

Robotics & Machine Learning Daily News2024,Issue(Jul.18) :11-12.

Findings from Chinese Academy of Sciences in Nanocrystals Reported (Interpretabl e Machine Learning-assisted Design of Febased Nanocrystalline Alloys With High Saturation Magnetic Induction and Low Coercivity)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnol ogy - Nanocrystals. According to news originatingfrom Ningbo, People’s Republic of China, by NewsRx correspondents, research stated, “Overcoming thetrade-off between saturation magnetic induction (B-s) and coercivity (H-c) of Fe-based nan ocrystallinealloys (FNAs) remains a great challenge due to the traditional desi gn relying on trial-and-error methods,which are time-consuming and inefficient. Herein, we present an interpretable machine learning (ML)algorithm for the eff ective design of advanced FNAs with improved B-s and low H-c.”

Key words

Ningbo/People’s Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Nanocrystals/Nanote chnology/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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