Open Access
Issue
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
Article Number 15019
Number of page(s) 8
Section Sensitivity & Uncertainty Methods
DOI https://doi.org/10.1051/epjconf/202124715019
Published online 22 February 2021
  1. M. Abdo, R. Elzohery, and J. A. Roberts. “Modeling isotopic evolution with surrogates based on dynamic mode decomposition.” Annals of Nuclear Energy, volume 129, pp. 280–288 (2019). [Google Scholar]
  2. R. Elzohery, M. Abdo, and J. Roberts. “Comparison Between Gaussian Processes and DMD Surrogates for Isotopic Composition Prediction.” Transactions of the American Nuclear Society, volume 118, pp. 459–462 (2018). [Google Scholar]
  3. X. Wu, C. Wang, and T. Kozlowski. “Kriging-based Surrogate Models for Uncertainty Quantification and Sensitivity Analysis.” (2017). [Google Scholar]
  4. Z. K. Hardy, J. E. Morel, and C. Ahrens. “Dynamic Mode Decomposition for Subcritical Metal Systems.” Nuclear Science and Engineering, pp. 1–13 (2019). [Google Scholar]
  5. S. Lorenzi. “An Adjoint Proper Orthogonal Decomposition method for a neutronics reduced order model.” Annals of Nuclear Energy, volume 114, pp. 245–258 (2018). [Google Scholar]
  6. S. Lorenzi, A. Cammi, L. Luzzi, and G. Rozza. “A reduced order model for investigating the dynamics of the Gen-IV LFR coolant pool.” Applied Mathematical Modelling, volume 46, pp. 263–284 (2017). [Google Scholar]
  7. A. Quarteroni, G. Rozza, and A. Manzoni. “Certified reduced basis approximation for parametrized partial differential equations and applications.” Journal of Mathematics in Industry, volume 1(1), p. 3 (2011). [Google Scholar]
  8. P. Chen, A. Quarteroni, and G. Rozza. “Reduced order methods for uncertainty quantification problems.” ETH Zurich, SAM Report, volume 3 (2015). [Google Scholar]
  9. P. Benner, A. Cohen, M. Ohlberger, and K. Willcox. Model reduction and approximation: theory and algorithms, volume 15. SIAM (2017). [Google Scholar]

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