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Machine learning for modeling intergranular stress corrosion cracking of stainless steels in light water reactors with uncertainty quantification and explainability

Crossref DOI link: https://doi.org/10.1038/s41529-025-00717-0

Published Online: 2025-12-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Falaakh, Dayu Fajrul

Bahn, Chi Bum
Funding

Funding for this research was provided by:

the Korea Institute of Energy Technology Evaluation and Planning (No. RS-2022-KP002852)

the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. RS-2024-00398425)
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Text and Data Mining valid from 2025-12-11

Version of Record valid from 2026-01-12
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Article History

Received: 14 August 2025

Accepted: 21 November 2025

First Online: 11 December 2025

Competing interests

: The authors declare no competing interests.

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