Detecting irradiation defects in materials: A machine learning approach to analyze helium bubble images-Reference-Cited by-同舟云学术

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Detecting irradiation defects in materials: A machine learning approach to analyze helium bubble images

Published:2024-08 Issue: Volume:596 Page:155117
ISSN:0022-3115
Container-title:Journal of Nuclear Materials
language:en
Short-container-title:Journal of Nuclear Materials

Author:

Zheng Zhiwei,Qiu Siyi,Yue Xuezheng^ORCID,Wang Jincheng^ORCID,Hou Juan

Publisher

Elsevier BV

Reference47 articles.

1. Enhanced resistance to helium irradiations through unusual interaction between high-entropy-alloy and helium;Cheng;Acta Mater.,2023

2. Neutron-induced dpa, transmutations, gas production, and helium embrittlement of fusion materials;Gilbert;J. Nucl. Mater.,2013

3. The effects of helium in irradiated structural alloys;Dai;Comprehens. Nuclear Mater.,2012

4. Radiation-induced helium bubbles in metals;Li;Materials (Basel),2019

5. The effects of grain boundary structure on binding of He in Fe;Kurtz;J. Nucl. Mater.,2004

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