Super-resolving material microstructure image via deep learning for microstructure characterization and mechanical behavior analysis
Abstract The digitized format of microstructures, or digital microstructures, plays a crucial role in modern-day materials research. Unfortunately, the acquisition of digital microstructures through experimental means can be unsuccessful in delivering sufficient resolution that is necessary to captu...
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Auteurs principaux: | Jaimyun Jung, Juwon Na, Hyung Keun Park, Jeong Min Park, Gyuwon Kim, Seungchul Lee, Hyoung Seop Kim |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/6bbe639d1e2f45d6a9cfc4f5f009486b |
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