Author:
Myung Wha-Nam,Yang Sun-Joo,Kim Hyun-Goo,Masumoto T.
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
Cited by
15 articles.
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1. Shallow neural networks to predict glass transition, crystallization and liquidus temperature of iron-based metallic glasses;IOP Conference Series: Materials Science and Engineering;2021-05-01
2. Fe-P-V (268);Physical Properties of Ternary Amorphous Alloys. Part 3: Systems from Cr-Fe-P to Si-W-Zr;2011
3. Fe-Mo-P (263);Physical Properties of Ternary Amorphous Alloys. Part 3: Systems from Cr-Fe-P to Si-W-Zr;2011
4. Fe-Mn-P (261);Physical Properties of Ternary Amorphous Alloys. Part 3: Systems from Cr-Fe-P to Si-W-Zr;2011
5. Cr-Fe-P (222);Physical Properties of Ternary Amorphous Alloys. Part 3: Systems from Cr-Fe-P to Si-W-Zr;2011