A Study on the Optimization of Metalloid Contents of Fe-Si-B-C Based Amorphous Soft Magnetic Materials Using Artificial Intelligence Method

A Study on the Optimization of Metalloid Contents of Fe-Si-B-C Based Amorphous Soft Magnetic Materials Using Artificial Intelligence Method

The soft magnetic properties of Fe-based amorphous alloys can be controlled by their compositions through alloy design. Experimental data on these alloys show some discrepancy, however, with predicted values. For further improvement of the soft magnetic properties, machine learning processes such as...

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Bibliographic Details
Main Authors: Young-Sin Choi, Do-Hun Kwon, Min-Woo Lee, Eun-Ji Cha, Junhyup Jeon, Seok-Jae Lee, Jongryoul Kim, Hwi-Jun Kim
Format: Article
Language:English
Published: Polish Academy of Sciences 2022-11-01
Series:Archives of Metallurgy and Materials
Subjects:
fe-based amorphous
soft magnetic properties
artificial intelligence
machine learning
random forest regression
Online Access:https://journals.pan.pl/Content/125110/PDF/AMM-2022-4-32-Hwi-Jun%20Kim.pdf

Internet

https://journals.pan.pl/Content/125110/PDF/AMM-2022-4-32-Hwi-Jun%20Kim.pdf

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