Pietro Marco Congedo
According to our database1,
Pietro Marco Congedo
authored at least 20 papers
between 2007 and 2024.
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Bibliography
2024
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees).
J. Comput. Phys., February, 2024
2023
J. Sci. Comput., February, 2023
2022
Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty.
Reliab. Eng. Syst. Saf., 2022
Assessment of a Non-Conservative Four-Equation Multiphase System with Phase Transition.
J. Sci. Comput., 2022
2021
2020
Extension of AK-MCS for the efficient computation of very small failure probabilities.
Reliab. Eng. Syst. Saf., 2020
Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder.
J. Comput. Phys., 2020
A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials.
CoRR, 2020
2019
Surrogate-assisted Bounding-Box approach for optimization problems with tunable objectives fidelity.
J. Glob. Optim., 2019
Kriging-sparse Polynomial Dimensional Decomposition surrogate model with adaptive refinement.
J. Comput. Phys., 2019
2018
Novel algorithm using Active Metamodel Learning and Importance Sampling: Application to multiple failure regions of low probability.
J. Comput. Phys., 2018
2017
Towards a unified multiresolution scheme for treating discontinuities in differential equations with uncertainties.
Math. Comput. Simul., 2017
2016
A Novel Weakly-Intrusive Non-linear Multiresolution Framework for Uncertainty Quantification in Hyperbolic Partial Differential Equations.
J. Sci. Comput., 2016
Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation.
J. Comput. Phys., 2016
An adaptive strategy on the error of the objective functions for uncertainty-based derivative-free optimization.
J. Comput. Phys., 2016
2015
J. Comput. Phys., 2015
2014
J. Comput. Phys., 2014
2013
A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems.
J. Comput. Phys., 2013
A simplex-based numerical framework for simple and efficient robust design optimization.
Comput. Optim. Appl., 2013
2007
Analysis and Optimization of Dense gas flows: Application to organic Rankine cycles turbines.
PhD thesis, 2007