Open Access
Issue
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
Article Number 17010
Number of page(s) 9
Section Artificial Intelligence & Digital in Nuclear Applications - Quantum Computing
DOI https://doi.org/10.1051/epjconf/202430217010
Published online 15 October 2024
  1. T. Downar, A. Ward, V. Seker, N. Hudson, D. Barber, L. Larsen, B. Neykov, G. Roth, Y. Xu. PARCS v3.4.2. University of Michigan, Nuclear Regulatory Commission, Information Systems Laboratories Inc, Purdue University (2022). [Google Scholar]
  2. A. Wysocki, Y. Xu, B. Collins, A. Manera, T. Downar, A. M. Ward, N. Hudson, G. Roth, M. Bradbury, L. Larsen, D. Barber. PATHS, PARCS Advanced Thermal Hydraulic Solver 1.08. University of Michigan, Nuclear Regulatory Commission, Information Systems Laboratories Inc. (2022). [Google Scholar]
  3. E. Fernandes Faria, C. Pereira, C. Nuclear fuel loading pattern optimisation using a neural network. Annals of Nuclear Energy 30, 603–613 (2003). [Google Scholar]
  4. F. C. M. Verhagen, H.P.M. Gibcus, P. H. Wakker, D. Janin, M. Seidl. Recent developments of the rosa PWR code and a special loading pattern design application. Advances in Nuclear Management (ANFM 2015), Hilton Head Island, South Carolina. USA (2015). [Google Scholar]
  5. L. Gilli and P. H. Wakker, B. R. Elder. Development of an in-core fuel management tool for boiling water reactors. Proceedings of ICAPP 2017, Fukui and Kyoto Japan (2017). [Google Scholar]
  6. R. A. Saleem, M. I. Radaideh, T. Kozlowski. Application of deep neural networks for high-dimensional large BWR core neutronics. Nuclear Engineering and Technology, 52. (2020). [Google Scholar]
  7. F. Chollet, & others. Keras. (2015). Available at: https://github.com/fchollet/keras. [Google Scholar]
  8. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, R. Jozefowicz, Y. Jia, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, M. Schuster, R. Monga, S. Moore, D. Murray, C. Olah, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, X. Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org. [Google Scholar]

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