XGBoost algorithm-assisted prediction of amorphous formability of Fe-based nanocrystalline precursor-Reference-Cited by-同舟云学术

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XGBoost algorithm-assisted prediction of amorphous formability of Fe-based nanocrystalline precursor

Published:2024-03 Issue: Volume:166 Page:108207
ISSN:0966-9795
Container-title:Intermetallics
language:en
Short-container-title:Intermetallics

Author:

Han Yu,Zhang Gan,Yang Fuyao,Dong Yaqiang,He Aina,Cao Jianfei

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference43 articles.

1. Modern soft magnets: amorphous and nanocrystalline materials;Herzer;Acta Mater.,2013

2. Amorphous–nanocrystalline alloys: fabrication, properties, and applications, Mater;Li;Today Adv,2019

3. Soft magnetic materials for a sustainable and electrified world;Silveyra;Science,2018

4. Recent advances and remaining challenges in manufacturing of amorphous and nanocrystalline alloys;Theisen;IEEE Trans. Magn.,2022

5. Recent progress in Fe-based amorphous and nanocrystalline soft magnetic materials;Azuma;J. Magn. Magn Mater.,2020

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