Details

Title

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

Journal title

Archives of Metallurgy and Materials

Yearbook

2022

Volume

vol. 67

Issue

No 4

Authors

Affiliation

Choi, Young-Sin : Smart Liquid Processing R&D Department, Korea Institute of Industrial Technology, 156, Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, Korea ; Choi, Young-Sin : Hanyang Univ., Department of Materials Science and Chemical Engineering, Ansan 15588, Korea ; Kwon, Do-Hun : Smart Liquid Processing R&D Department, Korea Institute of Industrial Technology, 156, Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, Korea ; Lee, Min-Woo : Smart Liquid Processing R&D Department, Korea Institute of Industrial Technology, 156, Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, Korea ; Cha, Eun-Ji : Smart Liquid Processing R&D Department, Korea Institute of Industrial Technology, 156, Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, Korea ; Jeon, Junhyup : Jeonbuk National Univ., Division of Advanced Materials Engineering, Jeonju 54896, Korea ; Lee, Seok-Jae : Jeonbuk National Univ., Division of Advanced Materials Engineering, Jeonju 54896, Korea ; Kim, Jongryoul : Hanyang Univ., Department of Materials Science and Chemical Engineering, Ansan 15588, Korea ; Kim, Hwi-Jun : Smart Liquid Processing R&D Department, Korea Institute of Industrial Technology, 156, Gaetbeol-ro, Yeonsu-Gu, Incheon 21999, Korea

Keywords

Fe-based amorphous ; Soft magnetic properties ; Artificial intelligence ; machine learning ; Random forest regression

Divisions of PAS

Nauki Techniczne

Coverage

1459-1463

Publisher

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences

Date

2022.11.23

Type

Article

Identifier

DOI: 10.24425/amm.2022.141074
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