Quantifying dislocation-type defects in post irradiation examination via transfer learning
Abstract The quantitative analysis of dislocation-type defects in irradiated materials is critical to materials characterization in the nuclear energy industry. The conventional approach of an instrument scientist manually identifying any dislocation defects is both time-consuming and subjective, th...
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| Main Authors: | Michael Wu, Jeremy Sharapov, Matthew Anderson, Yu Lu, Yaqiao Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00238-5 |
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