Innovative defect cluster analysis algorithm and tool powered by machine learning techniques
Reactor pressure vessel materials are critical to the safety and longevity of nuclear reactors, with irradiation damage posing significant challenges to their performance. Understanding defect clusters is essential to elucidating material behavior under irradiation. This paper makes four key contrib...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-04-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0253004 |
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