EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues EPJ Web Conf., 146 (2017) 02007 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Methodology for physics-informed generation of synthetic neutron time-of-flight measurement data

Noah Walton, Jesse Brown, William Fritsch, Dave Brown, Gustavo Nobre and Vladimir Sobes
Computer Physics Communications 294 108927 (2024)
https://doi.org/10.1016/j.cpc.2023.108927

Parameter optimisation using Bayesian inference for spallation models

J. Hirtz, J.-C. David, J. Cugnon, I. Leya, J. L. Rodríguez-Sánchez and G. Schnabel
The European Physical Journal A 60 (7) (2024)
https://doi.org/10.1140/epja/s10050-024-01370-y

TENDL-based evaluation and adjustment of p+111Cd between 1 and 100 MeV

E. Alhassan, D. Rochman, A. Vasiliev, A.J. Koning and H. Ferroukhi
Applied Radiation and Isotopes 198 110832 (2023)
https://doi.org/10.1016/j.apradiso.2023.110832

On the importance of target accuracy assessments and data assimilation for the co-development of nuclear data and fast reactors: MYRRHA and ESFR

P. Romojaro, F. Álvarez-Velarde, O. Cabellos, N. García-Herranz and A. Jiménez-Carrascosa
Annals of Nuclear Energy 161 108416 (2021)
https://doi.org/10.1016/j.anucene.2021.108416

Fission yields and cross sections: correlated or not?

Dimitri Alexandre Rochman and Eric Bauge
EPJ Nuclear Sciences & Technologies 7 5 (2021)
https://doi.org/10.1051/epjn/2021005

Nuclear data assimilation, scientific basis and current status

Evgeny Ivanov, Cyrille De Saint-Jean, Vladimir Sobes, et al.
EPJ Nuclear Sciences & Technologies 7 9 (2021)
https://doi.org/10.1051/epjn/2021008

Non-intrusive stochastic approach for nuclear cross-sections adjustment

Dongli Huang, Jeongwon Seo, Salma Magdi, Alya Badawi and Hany Abdel-Khalik
Annals of Nuclear Energy 155 108162 (2021)
https://doi.org/10.1016/j.anucene.2021.108162

Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo

E. Alhassan, D. Rochman, H. Sjöstrand, et al.
Annals of Nuclear Energy 139 107239 (2020)
https://doi.org/10.1016/j.anucene.2019.107239

Method and approaches to provide feedback from nuclear and covariance data adjustment for improvement of nuclear data files: Major findings of the NEA WPEC Subgroup 39

Massimo Salvatores, Giuseppe Palmiotti, Z. Ge, et al.
EPJ Web of Conferences 239 13001 (2020)
https://doi.org/10.1051/epjconf/202023913001

From nuclear physics to displacement damage calculation and uncertainty propagation in CONRAD

Shengli Chen, Pierre Tamagno, David Bernard, Pascal Archier and Gilles Noguere
Results in Physics 17 103023 (2020)
https://doi.org/10.1016/j.rinp.2020.103023

Monte Carlo integral adjustment of nuclear data libraries – experimental covariances and inconsistent data

Henrik Sjöstrand, Georg Schnabel, O. Serot and A. Chebboubi
EPJ Web of Conferences 211 07007 (2019)
https://doi.org/10.1051/epjconf/201921107007

Nuclear data correlation between different isotopes via integral information

Dimitri A. Rochman, Eric Bauge, Alexander Vasiliev, Hakim Ferroukhi and Gregory Perret
EPJ Nuclear Sciences & Technologies 4 7 (2018)
https://doi.org/10.1051/epjn/2018006