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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-07-01
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Series: | Materials & Design |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127522003483 |