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Efficient uncertain keff computations with the Monte Carlo resolution of generalised Polynomial Chaos based reduced models.

, and . J. Comput. Phys., (2022)

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Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution., , and . SIAM J. Numerical Analysis, 53 (3): 1559-1584 (2015)Efficient uncertainty propagation for photonics: Combining Implicit Semi-analog Monte Carlo (ISMC) and Monte Carlo generalised Polynomial Chaos (MC-gPC).. J. Comput. Phys., (2022)Multigroup-like MC resolution of generalised Polynomial Chaos reduced models of the uncertain linear Boltzmann equation (+discussion on hybrid intrusive/non-intrusive uncertainty propagation).. J. Comput. Phys., (February 2023)Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)., , , , and . CoRR, (2022)Uncertainty quantification for systems of conservation laws., , and . J. Comput. Phys., 228 (7): 2443-2467 (2009)Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics., and . J. Comput. Phys., 231 (9): 3587-3609 (2012)Efficient uncertain keff computations with the Monte Carlo resolution of generalised Polynomial Chaos based reduced models., and . J. Comput. Phys., (2022)An Unsplit Monte-Carlo solver for the resolution of the linear Boltzmann equation coupled to (stiff) Bateman equations., and . J. Comput. Phys., (2018)Contribution to the Mathematical and numerical Analysis of uncertain Systems of conservation Laws and of the linear and nonlinear Boltzmann equation. (Contribution a l'analyse Mathematique et numerique des systemes de lois de conservation incertains et de l'equation de Boltzmann Lineaire et non-Lineaire).. (2019)A gPC-intrusive Monte-Carlo scheme for the resolution of the uncertain linear Boltzmann equation.. J. Comput. Phys., (2019)