Prediction-accuracy improvement of neural network to ferromagnetic multilayers by Gaussian data augmentation and ensemble learning

In materials informatics using machine learning and density functional theory (DFT) calculations, it is often hard to obtain enough database due to extremely large costs of DFT. Therefore, it is required a machine learning technique that learns a complex target relationship from a limited dataset. I...

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Bibliographic Details

Published in:	Computational materials science Vol. 219; p. 112032
Main Authors:	Nawa, Kenji, Hagiwara, Katsuyuki, Nakamura, Kohji
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 25-02-2023
Subjects:	Ensemble learning First-principles calculations Gaussian data augmentation method Magnetic multilayers Neural network First-principles calculations Magnetic multilayers Neural network Ensemble learning Gaussian data augmentation method
Online Access:	Get full text
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