Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

A deep learning-based approach for precision improvement in Monte Carlo neutronics simulation

Gensheng Qian, Changran Geng and Xiaobin Tang
Annals of Nuclear Energy 226 111815 (2026)
https://doi.org/10.1016/j.anucene.2025.111815

Artificial intelligence in reactor physics: current status and future prospects

Rui-Zhi Zhang, Sheng-Feng Zhu, Kan Wang, Ding She, Jean-Philippe Argaud, Bertrand Bouriquet, Qing Li and He-Lin Gong
Nuclear Science and Techniques 37 (6) (2026)
https://doi.org/10.1007/s41365-026-01928-z

Optimal Reconfiguration of Distribution Networks with Distributed Generation Using a Hybrid GWO–NN Method for Sustainable Power Loss Reduction and Voltage Profile Improvement

Byron Corrales, Milton Ruiz, Edwin Garcia and Alexander Aguila Téllez
Sustainability 18 (9) 4516 (2026)
https://doi.org/10.3390/su18094516

Accelerating Atmosphere Modeling: Neural Network Enhancements for Faster NRLMSISE Calculations

Volodymyr Kashyn and Vasyl Choliy
Artificial Satellites 60 (3) 121 (2025)
https://doi.org/10.2478/arsa-2025-0007

On the Uncertainty Analysis of the Data-Enabled Physics-Informed Neural Network for Solving Neutron Diffusion Eigenvalue Problem

Yu Yang, Helin Gong, Qiaolin He, Qihong Yang, Yangtao Deng and Shiquan Zhang
Nuclear Science and Engineering 198 (5) 1075 (2024)
https://doi.org/10.1080/00295639.2023.2236840

Proceedings of the 23rd Pacific Basin Nuclear Conference, Volume 2

Xinyan Bei, Maosong Cheng, Xiandi Zuo, Kaicheng Yu and Yuqing Dai
Springer Proceedings in Physics, Proceedings of the 23rd Pacific Basin Nuclear Conference, Volume 2 284 1109 (2023)
https://doi.org/10.1007/978-981-19-8780-9_107

Three-Dimensional Surrogate Model Based on Back-Propagation Neural Network for Key Neutronics Parameters Prediction in Molten Salt Reactor

Xinyan Bei, Yuqing Dai, Kaicheng Yu and Maosong Cheng
Energies 16 (10) 4044 (2023)
https://doi.org/10.3390/en16104044