Issue |
EPJ Nuclear Sci. Technol.
Volume 10, 2024
Status and advances of Monte Carlo codes for particle transport simulation
|
|
---|---|---|
Article Number | 28 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/epjn/2024030 | |
Published online | 24 December 2024 |
- E.L. Kaplan, Monte Carlo Methods for Equilibrium Solutions in Neutron Multiplication, UCRL-5275-T (Lawrence Livermore National Laboratory, Washington, DC, 1958) [Google Scholar]
- B.L. Sjenitzer, J.E. Hoogenboom, Dynamic Monte Carlo method for nuclear reactor kinetics calculations, Nucl. Sci. Eng. 175, 94 (2013) [CrossRef] [Google Scholar]
- N. Shaukat, M. Ryu, H.J. Shim, Dynamic Monte Carlo transient analysis for the Organization for Economic Co-operation and Development Nuclear Energy Agency (OECD/NEA) C5G7-TD benchmark, Nucl. Eng. Technol. 49, 920 (2017) [CrossRef] [Google Scholar]
- S.H. Jang, H.J. Shim, Advances for the time-dependent Monte Carlo neutron transport analysis in McCARD, Nucl. Eng. Technol. 55, 2712 (2023) [CrossRef] [Google Scholar]
- S.H. Jang, H.J. Shim, Determination of an effective detector position for pulsed-neutron-source alpha measurement by time-dependent Monte Carlo neutron transport simulations, Sci. Technol. Nucl. Ins. 2018, 2350458(2018) [Google Scholar]
- J.M. Park, C.H. Pyeon, H.J. Shim, Sensitivity of a control rod worth estimate to neutron detector position by time-dependent Monte Carlo simulations of the rod drop experiment, Nucl. Eng. Technol. 56, 916 (2024) [CrossRef] [Google Scholar]
- M. Faucher, D. Mancusi, A. Zoia, New kinetic simulation capabilities for Tripoli-4®: Methods and applications, Ann. Nucl. Energy 120, 74 (2018) [CrossRef] [Google Scholar]
- V. Valtavirta, M. Hessan, J. Leppänen, Delayed neutron emission model for time dependent simulations with the serpent 2 Monte Carlo Code – first results, in Proceedings of PHYSOR 2016 (2016) [Google Scholar]
- C. Jia, L. Jian, X. Guo, K. Wang, S. Huang, J. Liang, Development of an improved direct kinetic simulation capability in RMC code, Ann. Nucl. Energy 173, 109110 (2022) [CrossRef] [Google Scholar]
- F.B. Brown, W.R. Martin, Monte Carlo methods for radiation transport analysis on vector computers, Prog. Nucl. Energy 14, 269 (1984) [CrossRef] [Google Scholar]
- S.P. Hamilton, T.M. Evans, Continuous-energy Monte Carlo neutron transport on GPUs in the Shift code, Ann. Nucl. Energy 128, 236 (2019) [CrossRef] [Google Scholar]
- N. Choi, K.M. Kim, H.G. Joo, Optimization of neutron tracking algorithms for GPU-based continuous energy Monte Carlo calculation, Ann. Nucl. Energy 162, 108508 (2021) [CrossRef] [Google Scholar]
- H.J. Shim, B.S. Han, J.S. Jung, H.J. Park, C.H. Kim, McCARD: Monte Carlo code for advanced reactor design and analysis, Nucl. Eng. Technol. 44, 161 (2012) [CrossRef] [Google Scholar]
- V.F. Boyarinov, et al., Deterministic time-dependent neutron transport benchmark without spatial homogenization (C5G7-TD), NEA/NSC/DOC(2016), OECD Nuclear Energy Agency, Version 1.9, 2018 [Google Scholar]
- C.H. Pyeon, Experimental benchmarks of neutronics on solid Pb–Bi in accelerator-driven system with 100 MeV protons at Kyoto University Critical Assembly, KURRI-TR-447, Research Reactor Institute, Kyoto University, 2017 [Google Scholar]
- T.E. Booth, A weight (charge) conserving importance-weighted comb for Monte Carlo, LA-URe96-0051, Los Alamos National Laboratory, NM (United States), 1996 [Google Scholar]
- NVIVIA CUDA Programming Guide 2.2, 2009 [Google Scholar]
- J. Leppänen, Two practical methods for unionized energy grid construction in continuous-energy Monte Carlo neutron transport calculation, Ann. Nucl. Energy 36, 878 (2009) [CrossRef] [Google Scholar]
- Y.S. Jung, C.B. Shim, C.H., Lim, H.G. Joo, Practical numerical reactor employing direct whole core neutron transport and subchannel thermal/hydraulic solvers, Ann. Nucl. Energy 62, 357 (2013) [CrossRef] [Google Scholar]
- H.J. Shim, S.H. Jang, S.M. Kang, Monte Carlo alpha iteration algorithm for a subcritical system analysis, Sci. Technol. Nucl. Ins. 2015, 859242 (2015) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.