Tytuł artykułu

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

Tytuł czasopisma

Archives of Metallurgy and Materials

Rocznik

2022

Wolumin

vol. 67

Numer

No 4

Afiliacje

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

Autorzy

Choi, Young-Sin ; Kwon, Do-Hun ; Lee, Min-Woo ; Cha, Eun-Ji ; Jeon, Junhyup ; Lee, Seok-Jae ; Kim, Jongryoul ; Kim, Hwi-Jun

Słowa kluczowe

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

Wydział PAN

Nauki Techniczne

Zakres

1459-1463

Wydawca

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

Data

2022.11.23

Typ

Article

Identyfikator

DOI: 10.24425/amm.2022.141074 ; e-ISSN 2300-1909