| 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 | 58 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/epjn/2025051 | |
| Published online | 30 September 2025 | |
- J.A. Kulesza et al., MCNP® Code Version 6.3.1 Theory & User Manual. Tech. rep. LA-UR-24- 24602, Rev. 1. Los Alamos, NM, USA: Los Alamos National Laboratory (2024). https://doi.org/10.2172/2372634 [Google Scholar]
- F.B. Brown and W.R. Martin, Direct Sampling of Monte Carlo Flight Paths in Media with Continuously Varying Cross-Sections, Tech. rep. LA-UR-02-6530. Los Alamos, NM, USA: Los Alamos National Laboratory (2003) [Google Scholar]
- L.L. Carter, E.D. Cashwell, W.M. Taylor, “Monte Carlo Sampling with Continuously Varying Cross Sections Along Flight Paths”, Nuclear Sci. Eng. 48, 403 (1972). https://doi.org/10.13182/NSE72-1 [Google Scholar]
- E.R. Woodcock et al., Techniques Used in the GEM Code for Monte Carlo Neutronics Calculations in Reactors and Other Systems of Complex Geometry, Tech. rep. Risley, Warrington, Lancs., England: United Kingdom Atomic Energy Agency (1965) [Google Scholar]
- C.J. Josey and A. Sood, A Review of 70 Years of Monte Carlo Development at Los Alamos: 1953 – 2023, Presentation LA-UR- 23-27907, in International Topical Meeting on Industrial Radiation and Radioisotope Measurement Applications (IRRMA) (Bologna, Italy, Los Alamos, NM, USA, Los Alamos National Laboratory, 2023) [Google Scholar]
- H. Belanger, D. Mancusi, A. Zoia, Review of Monte Carlo methods for particle transport in continuously-varying media, Eur. Phys. J. Plus 135, 877 (2020). https://doi.org/10.1140/epjp/s13360-020-00731-y [Google Scholar]
- P.A. Vaquer et al., Direct Sampling of Monte Carlo Flight Paths in Tetrahedral Meshes with Linear Finite-Element Cross Sections, EPJ Web Conf. 302, 10 (2024). https://doi.org/10.1051/epjconf/202430204008 [Google Scholar]
- T. Möller and B. Trumbore, Fast, Minimum Storage Ray-Triangle Intersection, J. Graph. Tools 2, 21 (1997). https://doi.org/10.1080/10867651.1997.10487468 [CrossRef] [Google Scholar]
- T.D. Blacker et al., CUBIT Geometry and Mesh Generation Toolkit 15.2 User Documentation, Technical Report (2016). https://doi.org/10.2172/1457612 [Google Scholar]
- P. Virtanen et al., SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, Nat. Methods 17, 261 (2020). https://doi.org/10.1038/s41592-019-0686-2 [NASA ADS] [CrossRef] [Google Scholar]
- P.A. Vaquer et al., A delta-tracking method that supports finite-element material properties in mesh-based Monte Carlo codes, in International Conference on Physics of Reactors (PHYSOR 2024) (2024) [Google Scholar]
- J. Leppänen, Modeling of Nonuniform Density Distributions in the Serpent 2 Monte Carlo Code, Nuclear Sci. Eng. 174, 318 (2013). https://doi.org/10.13182/NSE12-54 [Google Scholar]
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