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RESEARCH PAPER · Journal of Nuclear Materials · 2024

Prediction of the swelling rate of irradiated type 316 stainless steels via machine learning methods

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Prediction of the swelling rate of irradiated type 316 stainless steels via machine learning methodsOriginalPredicting Irradiation Hardening of Ods Steels: An Interpretable Machine Learning Approach with Microstructural Features0Machine learning - assisted prediction of yield strength in irradiated type 316 stainless steels8Machine learning-based prediction of alloying element effects on irradiation swelling in austenitic steels0Prediction of post-irradiation swelling rate of 316L stainless steel based on Variational Autoencoders and interpretable machine learning6Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels21Irradiation tolerance mechanisms in Ni-based multi-principal element alloys: A comparative study of single-crystal vs. nanocrystalline systems3LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels2Investigating creep damage initiation at the mesoscale using high-resolution electron microscopy, crystal plasticity modelling, and a classification algorithm5Machine learning-based prediction and mechanistic interpretation of irradiation-induced swelling in austenitic steels: The roles of irradiation conditions and alloying elements0Quantifying uncertainty in void swelling prediction: A conformal prediction framework for reactor safety margins0

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  1. Predicting Irradiation Hardening of Ods Steels: An Interpretable Machine Learning Approach with Microstructural Features

    SSRN Electronic Journal · 2024-01-01

    Tian-Xing Yang, Peng Dou

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  2. Machine learning - assisted prediction of yield strength in irradiated type 316 stainless steels

    Fusion Engineering and Design · 2024-10-19

    Ziqiang Wang, Yang Chen, Ning Gao, Xuebang Wu, Zhongwen Yao

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  3. Machine learning-based prediction of alloying element effects on irradiation swelling in austenitic steels

    SSRN Electronic Journal · 2025-01-01

    Tao Huang, Zhen-Feng Tong, Yiding Wang, Shuyi Jiang, Lu Sun

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  4. Prediction of post-irradiation swelling rate of 316L stainless steel based on Variational Autoencoders and interpretable machine learning

    Nuclear Materials and Energy · 2025-01-22

    Chengcheng Liu, Hang Su

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  5. Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels

    Results in Engineering · 2025-02-04

    C. Yazici, Francisco Javier Dominguez-Gutierrez

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  6. Irradiation tolerance mechanisms in Ni-based multi-principal element alloys: A comparative study of single-crystal vs. nanocrystalline systems

    Journal of Alloys and Compounds · 2025-06-01

    Hongzhi Huang, Junjun Chen, Jie Li

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  7. LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels

    Journal of Nuclear Materials · 2025-10-25

    Jian Zhou, Weiren Wang, Xue Feng Jiang, Bing Bai, Yanjing Su

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  8. Investigating creep damage initiation at the mesoscale using high-resolution electron microscopy, crystal plasticity modelling, and a classification algorithm

    International Journal of Plasticity · 2026-01-29

    Farhan Ashraf, Nicolò Grilli, Chen Liu, Michael Peter Austin Salvini, Catrin Mair Davies, Christopher E. Truman, Mahmoud Mostafavi, David Knowles

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  9. Machine learning-based prediction and mechanistic interpretation of irradiation-induced swelling in austenitic steels: The roles of irradiation conditions and alloying elements

    Journal of Nuclear Materials · 2026-06-02

    Tao Huang, Zhen-Feng Tong, Yiding Wang, Shuyi Jiang, Lu Sun

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  10. Quantifying uncertainty in void swelling prediction: A conformal prediction framework for reactor safety margins

    Annals of Nuclear Energy · 2026-08-22

    Minhee Kim, Yong Yang

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