Deep Learning Segmentation of Polycrystalline Superconductors with Different Compositions
Author:
Affiliation:
1. Tokyo University of Agriculture and Technology
2. Kyushu University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Link
https://www.jstage.jst.go.jp/article/ieejfms/144/9/144_373/_pdf
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5. (5) A. Goetz, A. R. Durmaz, M. Müller, A. Thomas, D. Britz, P. Kerfriden, and C. Eberl : “Addressing materials' microstructure diversity using transfer learning”, NPJ Comput. Mater., Vol. 8, No. 27 (2022)
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