Details Details PDF BIBTEX RIS Title The Prediction of Optimized Metalloid Content in Fe-Si-B-P Amorphous Alloys Using Artificial Intelligence Algorithm Journal title Archives of Metallurgy and Materials Yearbook 2022 Volume vol. 67 Issue No 4 Authors Lee, Min-Woo ; Choi, Young-Sin ; Kwon, Do-Hun ; Cha, Eun-Ji ; Kang, Hee-Bok ; Jeong, Jae-In ; Lee, Seok-Jae ; Kim, Hwi-Jun Affiliation Lee, Min-Woo : Smart Liquid Processing R&D Department of Korea Institute of Industrial Technology, Incheon 21999, Korea ; Choi, Young-Sin : Smart Liquid Processing R&D Department of Korea Institute of Industrial Technology, Incheon 21999, Korea ; Kwon, Do-Hun : Smart Liquid Processing R&D Department of Korea Institute of Industrial Technology, Incheon 21999, Korea ; Cha, Eun-Ji : Smart Liquid Processing R&D Department of Korea Institute of Industrial Technology, Incheon 21999, Korea ; Kang, Hee-Bok : R&D Center of Youngin Electronic, Youngin 1033, Korea ; Jeong, Jae-In : R&D Center of Youngin Electronic, Youngin 1033, Korea ; Lee, Seok-Jae : Jeonbuk National University, Division of Advanced Materials Engineering, Jeonju 54896, Korea ; Kim, Hwi-Jun : Smart Liquid Processing R&D Department of Korea Institute of Industrial Technology, Incheon 21999, Korea Keywords Fe-based amorphous alloy ; Metalloid elements ; Artificial intelligence ; Coercivity ; Saturation magnetization Divisions of PAS Nauki Techniczne Coverage 1539-1542 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.2022.141090