Inverse Design of Fe-Based Bulk Metallic Glasses Using Machine Learning

Inverse Design of Fe-Based Bulk Metallic Glasses Using Machine Learning

Fe-based bulk metallic glasses (BMGs) are a unique class of materials that are attracting attention in a wide variety of applications owing to their physical properties. Several studies have investigated and designed the relationships between alloy composition and thermal properties of BMGs using an...

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Bibliographic Details
Main Authors: Junhyub Jeon, Namhyuk Seo, Hwi-Jun Kim, Min-Ha Lee, Hyun-Kyu Lim, Seung Bae Son, Seok-Jae Lee
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Metals
Subjects:
Fe-based bulk metallic glasses
materials design
machine learning
artificial neural network
inverse design
Online Access:https://www.mdpi.com/2075-4701/11/5/729

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https://www.mdpi.com/2075-4701/11/5/729

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