Open Access
Issue
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
Article Number 07013
Number of page(s) 11
Section High Performance Computing for Nuclear Data Processing – Benchmarking
DOI https://doi.org/10.1051/epjconf/202430207013
Published online 15 October 2024
  1. R. E. MacFarlane et al., The NJOYNuclear Data Processing System - Version 2016 [Google Scholar]
  2. J. A. Kulesza et al., MCNP® Code Version 6.3.0 Theory & User Manual, Los Alamos National Laboratory Tech. Rep. LA-UR-22-30006, Rev. 1. (LANL, Los Alamos, 2022) [Google Scholar]
  3. R. Baker et al., PARTISN: A Time-Dependent, Parallel Neutral Particle Transport Code System, Los Alamos National Laboratory Tech. Rep. LA-UR-17-29704, Rev. 1. (LANL, Los Alamos, 2017) [Google Scholar]
  4. J. Conlin et al., NJOY21: Next generation nuclear data processing capabilities, EPJ Web of Conferences, 146 (2017) [Google Scholar]
  5. C. Mattoon et al., Generalized Nuclear Data: A New Structure (with Supporting Infrastructure) for Handling Nuclear Data, Nuclear Data Sheets, 113 (2012) [Google Scholar]
  6. D. Brown et al., ENDF-6 Formats Manual, National Nuclear Data Center, Brookhaven National Laboratory, ENDF-102 (2018) [Google Scholar]
  7. W. Haeck, N. Gibson, P. Talou, ENDFtk: A Robust Tool for Reading and Writing ENDF-Formatted Nuclear Data, To be published in Computer Physics Communications [Google Scholar]
  8. https://github.com/njoy/ACEtk [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.