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Research Areas
- Machine Learning in Materials Science
- Theoretical and Computational Physics
- Magnetic properties of thin films
Mie University
2023
In materials informatics using machine learning and density functional theory (DFT) calculations, it is often hard to obtain enough database due extremely large costs of DFT. Therefore, required a technique that learns complex target relationship from limited dataset. the present work, overcome this issue, we built neural network by implementing two techniques: Gaussian data augmentation (GDA) method, which injects noises into training dataset, ensemble learning, employs multiple models...
10.1016/j.commatsci.2023.112032
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Computational Materials Science
2023-01-19
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