SFCOMPO-2.0: An OECD NEA database of spent nuclear fuel isotopic assays, reactor design specifications, and operating data F Michel-Sendis, I Gauld, JS Martinez, C Alejano, M Bossant, ... Annals of Nuclear Energy 110, 779-788, 2017 | 106 | 2017 |
PSI methodologies for nuclear data uncertainty propagation with CASMO‐5M and MCNPX: results for OECD/NEA UAM benchmark phase I W Wieselquist, T Zhu, A Vasiliev, H Ferroukhi Science and Technology of Nuclear Installations 2013 (1), 549793, 2013 | 93 | 2013 |
The TENDL library: Hope, reality and future D Rochman, AJ Koning, JC Sublet, M Fleming, E Bauge, S Hilaire, ... EPJ Web of Conferences 146, 02006, 2017 | 77 | 2017 |
Nuclear data uncertainties for typical LWR fuel assemblies and a simple reactor core D Rochman, O Leray, M Hursin, H Ferroukhi, A Vasiliev, A Aures, ... Nuclear Data Sheets 139, 1-76, 2017 | 63 | 2017 |
Nuclear data uncertainty propagation on spent fuel nuclide compositions O Leray, D Rochman, P Grimm, H Ferroukhi, A Vasiliev, M Hursin, ... Annals of Nuclear Energy 94, 603-611, 2016 | 51 | 2016 |
Development of a CASMO-4/SIMULATE-3/MCNPX calculation scheme for PWR fast neutron fluence analysis and validation against RPV scraping test data A Vasiliev, H Ferroukhi, MA Zimmermann, R Chawla Annals of nuclear energy 34 (8), 615-627, 2007 | 49 | 2007 |
Core modelling and analysis of the Swiss nuclear power plants for qualified R&D applications H Ferroukhi, K Hofer, JM Hollard, A Vasiliev, MA Zimmermann | 48 | 2008 |
Nuclear data uncertainty for criticality-safety: Monte Carlo vs. linear perturbation D Rochman, A Vasiliev, H Ferroukhi, T Zhu, SC Van Der Marck, ... Annals of Nuclear Energy 92, 150-160, 2016 | 47 | 2016 |
A Bayesian Monte Carlo method for fission yield covariance information D Rochman, O Leray, A Vasiliev, H Ferroukhi, AJ Koning, M Fleming, ... Annals of Nuclear Energy 95, 125-134, 2016 | 44 | 2016 |
Methodology for core analyses with nuclear data uncertainty quantification and application to Swiss PWR operated cycles O Leray, H Ferroukhi, M Hursin, A Vasiliev, D Rochman Annals of Nuclear Energy 110, 547-559, 2017 | 38 | 2017 |
NUSS: A tool for propagating multigroup nuclear data covariances in pointwise ACE-formatted nuclear data using stochastic sampling method T Zhu, A Vasiliev, H Ferroukhi, A Pautz Annals of Nuclear Energy 75, 713-722, 2015 | 37 | 2015 |
Uncertainties for Swiss LWR spent nuclear fuels due to nuclear data DA Rochman, A Vasiliev, A Dokhane, H Ferroukhi EPJ Nuclear Sciences & Technologies 4, 6, 2018 | 36 | 2018 |
Monte Carlo nuclear data adjustment via integral information D Rochman, E Bauge, A Vasiliev, H Ferroukhi, S Pelloni, AJ Koning, ... The European Physical Journal Plus 133 (12), 537, 2018 | 33 | 2018 |
Nuclear data correlation between different isotopes via integral information DA Rochman, E Bauge, A Vasiliev, H Ferroukhi, G Perret EPJ Nuclear Sciences & Technologies 4, 7, 2018 | 23 | 2018 |
Correlation ν̅p− σ− χ in the fast neutron range via integral information D Rochman, E Bauge, A Vasiliev, H Ferroukhi EPJ Nuclear Sciences & Technologies 3, 14, 2017 | 23 | 2017 |
Nuclear data uncertainty propagation in a lattice physics code using stochastic sampling W Wieselquist, A Vasiliev, H Ferroukhi Proceedings of the PHYSOR-2012 conference, Advances in Reactor Physics …, 2012 | 22 | 2012 |
Consistent criticality and radiation studies of Swiss spent nuclear fuel: The CS2M approach D Rochman, A Vasiliev, H Ferroukhi, M Pecchia Journal of hazardous materials 357, 384-392, 2018 | 21 | 2018 |
How inelastic scattering stimulates nonlinear reactor core parameter behaviour D Rochman, A Vasiliev, H Ferroukhi, H Dokhane, A Koning Annals of Nuclear Energy 112, 236-244, 2018 | 21 | 2018 |
Iterative bayesian monte carlo for nuclear data evaluation E Alhassan, D Rochman, A Vasiliev, M Hursin, AJ Koning, H Ferroukhi Nuclear Science and Techniques 33 (4), 1-31, 2022 | 20 | 2022 |
NUSS-RF: Stochastic sampling-based tool for nuclear data sensitivity and uncertainty quantification T Zhu, A Vasiliev, H Ferroukhi, A Pautz, S Tarantola Journal of Nuclear Science and Technology 52 (7-8), 1000-1007, 2015 | 20 | 2015 |