首页|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)
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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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.”
NingboPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningNanocrystalsNanote chnologyChinese Academy of Sciences
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