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All issues Volume 11 (2025) EPJ Nuclear Sci. Technol., 11 (2025) 21 References
Issue
EPJ Nuclear Sci. Technol.
Volume 11, 2025
Special Issue on ‘Overview of recent advances in HPC simulation methods for nuclear applications’, edited by Andrea Zoia, Elie Saikali, Cheikh Diop and Cyrille de Saint Jean
Article Number 21
Number of page(s) 9
DOI https://doi.org/10.1051/epjn/2025019
Published online 04 June 2025
  1. K. Wang, S. Liu, Z. Li, G. Wang et al., Analysis of BEAVRS two-cycle benchmark using RMC based on full core detailed model, Prog. Nucl. Energy 98, 301 (2017), https://doi.org/10.1016/j.pnucene.2017.04.009 [CrossRef] [Google Scholar]
  2. M. Ellis, D. Gaston, B. Forget, K. Smith, Preliminary coupling of the Monte Carlo Code OpenMC and the multiphysics Object-Oriented simulation environment for analyzing Doppler feedback in Monte Carlo simulations, Nucl. Sci. Eng. 185, 184 (2017), https://doi.org/10.13182/NSE16-26 [CrossRef] [Google Scholar]
  3. A.J. Novak, D. Andrs, P. Shriwise, J. Fang et al., Coupled Monte Carlo and thermal-fluid modeling of high temperature gas reactors using Cardinal, Ann. Nucl. Energy 177, 109310 (2022), https://doi.org/10.1016/j.anucene.2022.109310 [CrossRef] [Google Scholar]
  4. T. Kamiya, T. Nagatake, A. Ono, K. Tada et al., Neutronics/thermal-hydraulics coupling simulation using JAMPAN in a single BWR fuel assembly, in Proceedings of the ICONE31 conference (Prague, Czech Republic, August 4–8, 2024), https://doi.org/10.1115/ICONE31-135974 [Google Scholar]
  5. W.L. Chadsey, C.W. Wilson, V.W. Pine, X-Ray photoemission calculations, IEEE Trans. Nucl. Sci. 22, 2345 (1975), https://doi.org/10.1109/TNS.1975.4328131 [CrossRef] [Google Scholar]
  6. D.P. Griesheimer, W.R. Martin, J.P. Holloway, Estimation of flux distributions with Monte Carlo functional expansion tallies, Radiat. Prot. Dosim. 115, 428 (2005), https://doi.org/10.1093/rpd/nci265 [CrossRef] [Google Scholar]
  7. D.P. Griesheimer, W.R. Martin, J.P. Holloway, Convergence properties of Monte Carlo functional expansion tallies, J. Comput. Phys. 211, 129 (2006), https://doi.org/10.1016/j.jcp.2005.05.023 [CrossRef] [Google Scholar]
  8. B.C. Franke, R.P. Kensek, Adaptive three-dimensional Monte Carlo functional-expansion tallies, Nucl. Sci. Eng. 165, 170 (2010), https://doi.org/10.13182/NSE08-68 [CrossRef] [Google Scholar]
  9. A. Jambrina, J. Leppänen, 3D Spherical Functional Expansion Tallies in Serpent 2 Monte Carlo Code, in Proceedings of the PHYSOR-2022 conference (Pittsburgh, PA, US, May 15–20, 2022) [Google Scholar]
  10. Z. Han, B. Forget, K. Smith, Using generalized basis for functional expansion, J. Nucl. Eng. 2, 161 (2021), https://doi.org/10.3390/jne2020016 [CrossRef] [Google Scholar]
  11. R. Kondo, T. Endo, A. Yamamoto, Flux distribution tallies using proper orthogonal decomposition in Monte Carlo calculations, J. Nucl. Sci. Technol. 61, 1536 (2024), https://doi.org/10.1080/00223131.2024.2365445 [CrossRef] [Google Scholar]
  12. J.S.R. Anttonen, P.I. King, P.S. Beran, POD-Based reduced-order models with deforming grids, Math. Comput. Model. 38, 41 (2003), https://doi.org/10.1016/S0895-7177(03)90005-7 [CrossRef] [Google Scholar]
  13. K. Tsujita, T. Endo, A. Yamamoto, Fast reproduction of time-dependent diffusion calculations using the reduced order model based on the proper orthogonal and singular value decompositions, J. Nucl. Sci. Technol. 58, 173 (2021), https://doi.org/10.1080/00223131.2020.1814891 [CrossRef] [Google Scholar]
  14. P. Behne, J. Vermaak, J.C. Ragusa, Minimally-invasive parametric model-order reduction for sweep-based radiation transport, J. Comput. Phys. 469, 111525 (2022), https://doi.org/10.1016/j.jcp.2022.111525 [CrossRef] [Google Scholar]
  15. K. Tsujita, T. Endo, A. Yamamoto, Efficient reduced order model based on the proper orthogonal decomposition for time-dependent MOC calculations, J. Nucl. Sci. Technol. 60, 343 (2023), https://doi.org/10.1080/00223131.2022.2097963 [CrossRef] [Google Scholar]
  16. M. Ito, T. Endo, A. Yamamoto, T. Takeishi et al., Reduced order SP 3 core calculation based on local/global iterations using proper orthogonal decomposition, J. Nucl. Sci. Technol. 62, 366 (2025), https://doi.org/10.1080/00223131.2024.2436958 [CrossRef] [Google Scholar]
  17. H. Chi, Y. Ma, Y. Wang, Reduced-order methods for neutron transport kinetics problem based on proper orthogonal decomposition and dynamic mode decomposition, Ann. Nucl. Energy 206, 110641 (2024), https://doi.org/10.1016/j.anucene.2024.110641 [CrossRef] [Google Scholar]
  18. Y. Nagaya, K. Okumura, T. Sakurai, T. Mori, MVP/GMVP version 3: General purpose Monte Carlo codes for neutron and photon transport calculations based on continuous energy and multigroup methods, JAEA-Data/Code 2016-018, (Japan Atomic Energy Agency, 2017) [Google Scholar]
  19. A.T. Godfrey, VERA Core Physics Benchmark Progression Problem Specifications, CASL-U-2012-0131-004, (Oak Ridge National Laboratory, 2014) [Google Scholar]
  20. A. Yamamoto, A. Giho, Y. Kato, T. Endo, GENESIS: A three-dimensional heterogeneous transport solver based on the legendre polynomial expansion of angular flux method, Nucl. Sci. Eng. 186, 1 (2017), https://doi.org/10.1080/00295639.2016.1273002 [CrossRef] [Google Scholar]
  21. K. Hayashi, T. Endo, A. Yamamoto, Underestimation of statistical uncertainty of local tallies in Monte Carlo eigenvalue calculation for simple and LWR lattice geometries, J. Nucl. Sci. Technol. 55, 1434 (2018), https://doi.org/10.1080/00223131.2018.1513875 [CrossRef] [Google Scholar]
  22. E.M. Gelbard, R. Prael, Computation of standard deviations in Eigenvalue calculations, Prog. Nucl. Energy 24, 237 (1990), https://doi.org/10.1016/0149-1970(90)90041-3 [CrossRef] [Google Scholar]
  23. D.N. Politis, J.P. Romano, A circular block-resampling procedure for stationary data, in Exploring the Limits of Bootstrap (Wiley, New York, 1992), pp. 263–270 [Google Scholar]
  24. L. Jin, K. Banerjee, S.P. Hamilton, G.G. Davidson, Improving variance estimation in Monte Carlo eigenvalue simulations, Ann. Nucl. Energy 110, 692 (2017), https://doi.org/10.1016/j.anucene.2017.07.016 [CrossRef] [Google Scholar]

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