Active Filters

  • (-) PSI Authors = Pautz, Andreas
  • (-) Keywords = data assimilation
Search Results 1 - 4 of 4
  • RSS Feed
Select Page
Artificial neural networks as surrogate models for uncertainty quantification and data assimilation in 2-D/3-D fuel performance studies
Fiorina, C., Scolaro, A., Siefman, D., Hursin, M., & Pautz, A. (2020). Artificial neural networks as surrogate models for uncertainty quantification and data assimilation in 2-D/3-D fuel performance studies. Journal of Nuclear Engineering, 1(1), 54-62. https://doi.org/10.3390/jne1010005
Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments
Siefman, D., Hursin, M., Perret, G., & Pautz, A. (2020). Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments. Progress in Nuclear Energy, 121, 103245 (9 pp.). https://doi.org/10.1016/j.pnucene.2020.103245
On data assimilation with Monte-Carlo-calculated and statistically uncertain sensitivity coefficients
Siefman, D., Hursin, M., Aufiero, M., Bidaud, A., & Pautz, A. (2020). On data assimilation with Monte-Carlo-calculated and statistically uncertain sensitivity coefficients. Annals of Nuclear Energy, 135, 106951 (13 pp.). https://doi.org/10.1016/j.anucene.2019.106951
Convergence analysis and criterion for data assimilation with sensitivities from Monte Carlo neutron transport codes
Siefman, D., Hursin, M., Aufiero, M., Bidaud, A., & Pautz, A. (2018). Convergence analysis and criterion for data assimilation with sensitivities from Monte Carlo neutron transport codes. In Proceedings of the PHYSOR 2018 (p. (10 pp.). American Nuclear Society.