ORIGINAL RESEARCH
Published on 08 Jan 2026
An ensemble data-driven method for fault detection and diagnosis of digital control systems in nuclear power plants
doi 10.3389/fnuen.2025.1714098
- 450 views
- Frontiers in Nuclear Engineering
- Nuclear Reactor Design
- Research Topics
- Advancing Nuclear Engineering through Artificial Intelligence and Machine Learning
Advancing Nuclear Engineering through Artificial Intelligence and Machine Learning
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Articles
CORRECTION
Published on 05 Dec 2025
Correction: An entropy-based debiasing approach to quantifying experimental coverage for novel applications of interest in the nuclear community
doi 10.3389/fnuen.2025.1736634
- 377 views
ORIGINAL RESEARCH
Published on 01 Dec 2025
Ensembles of physics-enhanced neural networks for the prediction of critical heat flux in nuclear reactors and the quantification of its uncertainty
doi 10.3389/fnuen.2025.1692182
- 756 views
ORIGINAL RESEARCH
Published on 23 Oct 2025
An entropy-based debiasing approach to quantifying experimental coverage for novel applications of interest in the nuclear community
doi 10.3389/fnuen.2025.1675308
- 801 views
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