Open Access
| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 07016 | |
| Number of page(s) | 13 | |
| Section | High Performance Computing for Nuclear Data Processing – Benchmarking | |
| DOI | https://doi.org/10.1051/epjconf/202430207016 | |
| Published online | 15 October 2024 | |
- A. J. Koning and D. Rochman, Annals of Nuclear Energy 35, 2024–2030 (2008) [CrossRef] [Google Scholar]
- Pablo Ducru (2021), Nuclear Computations under Uncertainty: New methods to infer and propagate nuclear data uncertainty across Monte Carlo simulations [PhD thesis, Massachusetts Institute of Technology] [Google Scholar]
- Picard Richard Roy, Anthony J. Zukaitis, and Robert Arthur Forster III, Evaluating Equivalent Monte Carlo Calculations, Vol. Tech. Rep. LA-UR-18-29274, Los Alamos National Laboratory, NM, USA, October 2018 [CrossRef] [Google Scholar]
- B. R. Herman (2014), Monte Carlo and Thermal Hydraulic Coupling using Low-Order Nonlinear Diffusion Acceleration [PhD thesis, Massachusetts Institute of Technology] [Google Scholar]
- A.J. Koning, M.C. Duijvestijn and S. Hilaire, Talys-1.0, Proceedings of the International Conference on Nuclear Data for Science and Technology, 22-27 April 2007, Nice, France, EDP Sciences, pp. 211–214 [Google Scholar]
- D. Rochman, A. J. Koning and S.C. van der Marck, Annals of Nuclear Energy 36, 810831 (2009) [Google Scholar]
- D. Rochman, A. J. Koning, and C.M. Sciolla, Annals of Nuclear Energy 38, 942–952 (2011) [Google Scholar]
- T. Loux and O. Davy, The American Statistian 75, 294–299 (2021) [CrossRef] [Google Scholar]
- D. Rochman, W. Zwermann, S.C. van der Marck, A.J. Koning, H. Sjostrand, P. Helgesson and B. Krzykacz-Hausmann, Nuclear Science and Engineering 177, 337–349 (2014) [CrossRef] [Google Scholar]
- Sung Y. Park and K. Anil, Journal of Econometrics, 150, 219–230, (2009) [CrossRef] [Google Scholar]
- J. A. Kulesza, T. R. Adams, J. C. Armstrong, S. R. Bolding, F. B. Brown, J. S. Bull, T. P. Burke, A. R. Clark, R. A. Forster III, J. F. Giron, T. S. Grieve, C. J. Josey, R. L. Martz, G. W. McKinney, E. J. Pearson, M. E. Rising, C. J. Solomon Jr., S. Swaminarayan, T. J. Trahan, S. C. Wilson, A. J. Zukaitis, MCNP Code Version 6.3.0 Theory and User Manual, Los Alamos National Laboratory Tech. Rep. LA-UR-22-30006, NM, USA (2022) [Google Scholar]
- P. K. Romano, N. E. Horelik, B. R. Herman, A. G. Nelson, B. Forget and K. Smith, Annals of Nuclear Energy 82, pp. 90–97 (2015) [CrossRef] [Google Scholar]
- R.E. Patterson and G.A. Newby, Nuclear Science and Engineerng 1, 112–115 (1956) [CrossRef] [Google Scholar]
- V. Patel, J. Navarro, W. Windes and P. Tsvekov, Annals of Nuclear Energy 165, 108629 (2022) [Google Scholar]
- International Handbook of Evaluated Criticality Safety Benchmark Experiments, NEA/NSC/DOC(95)03, OECD-NEA (2012) [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.