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Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
Babiano-Suárez, V., Lerendegui-Marco, J., Balibrea-Correa, J., Caballero, L., Calvo, D., Ladarescu, I., … Žugec, P. (2021). Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques. European Physical Journal A: Hadrons and Nuclei, 57(6), 197 (17 pp.). https://doi.org/10.1140/epja/s10050-021-00507-7
Nuclear data uncertainty quantification in criticality safety evaluations for spent nuclear fuel geological disposal
Frankl, M., Hursin, M., Rochman, D., Vasiliev, A., & Ferroukhi, H. (2021). Nuclear data uncertainty quantification in criticality safety evaluations for spent nuclear fuel geological disposal. Applied Sciences, 11(14), 6499 (19 pp.). https://doi.org/10.3390/app11146499
Development of a new method to determine the axial void velocity profile in BWRs from measurements of the in-core neutron noise
Pázsit, I., Torres, L. A., Hursin, M., Nylén, H., Dykin, V., & Montalvo, C. (2021). Development of a new method to determine the axial void velocity profile in BWRs from measurements of the in-core neutron noise. Progress in Nuclear Energy, 138, 103805 (11 pp.). https://doi.org/10.1016/j.pnucene.2021.103805
Analysis for the ARIANE GU1 sample: nuclide inventory and decay heat
Rochman, D., Vasiliev, A., Ferroukhi, H., & Hursin, M. (2021). Analysis for the ARIANE GU1 sample: nuclide inventory and decay heat. Annals of Nuclear Energy, 160, 108359 (19 pp.). https://doi.org/10.1016/j.anucene.2021.108359
Fission yields and cross sections: correlated or not?
Rochman, D. A., & Bauge, E. (2021). Fission yields and cross sections: correlated or not? EPJ Nuclear Sciences and Technologies, 7, 5 (9 pp.). https://doi.org/10.1051/epjn/2021005
Uncertainty analyses of spent nuclear fuel decay heat calculations using SCALE modules
Rochman, D., Shama, A., Pudollek, S., Caruso, S., & Pautz, A. (2021). Uncertainty analyses of spent nuclear fuel decay heat calculations using SCALE modules. Nuclear Engineering and Technology, 53(9), 2816-2829. https://doi.org/10.1016/j.net.2021.03.013
Conception and software implementation of a nuclear data evaluation pipeline
Schnabel, G., Sjöstrand, H., Hansson, J., Rochman, D., Koning, A., & Capote, R. (2021). Conception and software implementation of a nuclear data evaluation pipeline. Nuclear Data Sheets, 173, 239-284. https://doi.org/10.1016/j.nds.2021.04.007
Development and application of marginal likelihood optimization for integral parameter adjustment
Siefman, D., Hursin, M., Schnabel, G., & Sjöstrand, H. (2021). Development and application of marginal likelihood optimization for integral parameter adjustment. Annals of Nuclear Energy, 159, 108255 (10 pp.). https://doi.org/10.1016/j.anucene.2021.108255
Optimisation of used nuclear fuel canister loading using a neural network and genetic algorithm
Solans, V., Rochman, D., Brazell, C., Vasiliev, A., Ferroukhi, H., & Pautz, A. (2021). Optimisation of used nuclear fuel canister loading using a neural network and genetic algorithm. Neural Computing & Applications. https://doi.org/10.1007/s00521-021-06258-2
Operational modal analysis for characterization of mechanical and thermal-hydraulic fluctuations in simulated neutron noise
Torres Delgado, L. A., Verma, V., Montalvo, C., Dokhane, A., & García-Berrocal, A. (2021). Operational modal analysis for characterization of mechanical and thermal-hydraulic fluctuations in simulated neutron noise. Nuclear Engineering and Design, 373, 111017 (18 pp.). https://doi.org/10.1016/j.nucengdes.2020.111017
Studies of reactor noise response to vibrations of reactor internals and thermal-hydraulic fluctuations in PWRs
Verma, V., Chionis, D., Dokhane, A., & Ferroukhi, H. (2021). Studies of reactor noise response to vibrations of reactor internals and thermal-hydraulic fluctuations in PWRs. Annals of Nuclear Energy, 157, 108212 (19 pp.). https://doi.org/10.1016/j.anucene.2021.108212
Steady-state neutronic measurements and comprehensive numerical analysis for the BME training reactor
Ványi, A. S., Babcsány, B., Böröczki, Z. I., Horváth, A., Hursin, M., Szieberth, M., & Czifrus, S. (2021). Steady-state neutronic measurements and comprehensive numerical analysis for the BME training reactor. Annals of Nuclear Energy, 155, 108144 (15 pp.). https://doi.org/10.1016/j.anucene.2021.108144
Measurement of the <sup>244</sup>Cm capture cross sections at both CERN n_TOF experimental areas
Alcayne, V., Mendoza, E., Cano-Ott, D., Kimura, A., Aberle, O., Amaducci, S., … Ulrich, J. (2020). Measurement of the 244Cm capture cross sections at both CERN n_TOF experimental areas. In Z. Ge, N. Shu, Y. Chen, W. Wang, & H. Zhang (Eds.), EPJ web of conferences: Vol. 239. ND 2019: international conference on nuclear data for science and technology (p. 01034 (5 pp.). https://doi.org/10.1051/epjconf/202023901034
Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo
Alhassan, E., Rochman, D., Sjöstrand, H., Vasiliev, A., Koning, A. J., & Ferroukhi, H. (2020). Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo. Annals of Nuclear Energy, 139, 107239 (14 pp.). https://doi.org/10.1016/j.anucene.2019.107239
In search of the best nuclear data file for proton induced reactions: varying both models and their parameters
Alhassan, E., Rochman, D., Vasiliev, A., Bergmann, R. M., Wohlmuther, M., Koning, A. J., & Ferroukhi, H. (2020). In search of the best nuclear data file for proton induced reactions: varying both models and their parameters. In Z. Ge, N. Shu, Y. Chen, W. Wang, & H. Zhang (Eds.), EPJ web of conferences: Vol. 239. ND 2019: international conference on nuclear data for science and technology (p. 13005 (4 pp.). https://doi.org/10.1051/epjconf/202023913005
<sup>80</sup>Se(n,γ) cross-section measurement at CERN n_TOF
Babiano-Suarez, V., Aberle, O., Alcayne, V., Amaducci, S., Andrzejewski, J., Audouin, L., … Žugec, P. (2020). 80Se(n,γ) cross-section measurement at CERN n_TOF. In Journal of physics: conference series: Vol. 1668. Nuclear physics in astrophysics IX (NPA-IX), 15-20 September 2019, Frankfurt, Germany (p. 012001 (8 pp.). https://doi.org/10.1088/1742-6596/1668/1/012001
Methodology for high-fidelity deterministic modelling of Swiss LWR fuel assemblies
Bernal, A., Pecchia, M., Rochman, D., Vasiliev, A., & Ferroukhi, H. (2020). Methodology for high-fidelity deterministic modelling of Swiss LWR fuel assemblies. In Proceedings of the PHYSOR 2020 (p. 1197 (8 pp.). Nuclear Energy Group.
Neutron capture measurement at the n_TOF facility of the <sup>204</sup>Tl and <sup>205</sup>Tl s-process branching points
Casanovas, A., Tarifeño-Saldivia, A. E., Domingo-Pardo, C., Calviño, F., Maugeri, E., Guerrero, C., … Koester, U. (2020). Neutron capture measurement at the n_TOF facility of the 204Tl and 205Tl s-process branching points. In Journal of physics: conference series: Vol. 1668. Nuclear physics in astrophysics IX (NPA-IX), 15-20 September 2019, Frankfurt, Germany (p. 012005 (9 pp.). https://doi.org/10.1088/1742-6596/1668/1/012005
Development and verification of a methodology for neutron noise response to fuel assembly vibrations
Chionis, D., Dokhane, A., Belblidia, L., Ferroukhi, H., Girardin, G., & Pautz, A. (2020). Development and verification of a methodology for neutron noise response to fuel assembly vibrations. Annals of Nuclear Energy, 147, 107669 (15 pp.). https://doi.org/10.1016/j.anucene.2020.107669
Review and new concepts for neutron-capture measurements of astrophysical interest
Domingo-Pardo, C., Babiano-Suarez, V., Balibrea-Correa, J., Caballero, L., Ladarescu, I., Lerendegui-Marco, J., … Žugec, P. (2020). Review and new concepts for neutron-capture measurements of astrophysical interest. In Journal of physics: conference series: Vol. 1668. Nuclear physics in astrophysics IX (NPA-IX), 15-20 September 2019, Frankfurt, Germany (p. 012013 (13 pp.). https://doi.org/10.1088/1742-6596/1668/1/012013
 

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