Machine learning and Python assisted design and verification of Fe–based amorphous/nanocrystalline alloy

Machine learning and Python assisted design and verification of Fe–based amorphous/nanocrystalline alloy

We report a machine learning (ML) and Python assisted strategy to accelerate the design and verification of Fe–based amorphous and nanocrystalline alloy with desired properties. Linear Regression (LR), Support Vector Regression (SVR), Decision Tree Regression (DTR), Artificial Neural Network (ANN) a...

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Bibliographic Details
Main Authors: Yichuan Tang, Yuan Wan, Zhongqi Wang, Cong Zhang, Jiani Han, Chaohao Hu, Chengying Tang
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Materials & Design
Subjects:
Machine learning
Artificial neural networks
Amorphous alloy
Nanocrystalline alloys
Magnetic properties
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127522003483

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