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Marco Panzeri
Marco Panzeri
Noesis Solutions
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Title
Cited by
Cited by
Year
Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow
M Panzeri, M Riva, A Guadagnini, SP Neuman
Water Resources Research 49 (3), 1334-1344, 2013
482013
Role of model selection criteria in geostatistical inverse estimation of statistical data‐and model‐parameters
M Riva, M Panzeri, A Guadagnini, SP Neuman
Water Resources Research 47 (7), 2011
442011
Methodological enhancements in MDO process investigated in the AGILE European project
T Lefebvre, N Bartoli, S Dubreuil, M Panzeri, R Lombardi, R D'Ippolito, ...
18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 4140, 2017
402017
Comparison of Ensemble Kalman Filter groundwater-data assimilation methods based on stochastic moment equations and Monte Carlo simulation
M Panzeri, M Riva, A Guadagnini, SP Neuman
Advances in Water Resources 66, 8-18, 2014
342014
EnKF coupled with groundwater flow moment equations applied to Lauswiesen aquifer, Germany
M Panzeri, M Riva, A Guadagnini, SP Neuman
Journal of hydrology 521, 205-216, 2015
332015
Adaptive design of experiments for efficient and accurate estimation of aerodynamic loads
A Da Ronch, M Panzeri, MA Abd Bari, R d’Ippolito, M Franciolini
Aircraft Engineering and Aerospace Technology 89 (4), 558-569, 2017
252017
Uncertainty Quantification in Scale‐Dependent Models of Flow in Porous Media
AM Tartakovsky, M Panzeri, GD Tartakovsky, A Guadagnini
Water Resources Research, 2017
242017
Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design
T Lefebvre, N Bartoli, S Dubreuil, M Panzeri, R Lombardi, P Della Vecchia, ...
Progress in Aerospace Sciences 119, 100649, 2020
232020
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
A Da Ronch, M Panzeri, J Drofelnik, R d’Ippolito
CEAS Aeronautical Journal 11 (1), 33-47, 2020
222020
Robust nacelle optimization design investigated in the AGILE european project
N Bartoli, T Lefebvre, S Dubreuil, M Panzeri, R d'Ippolito, K Anisimov, ...
2018 multidisciplinary analysis and optimization conference, 3250, 2018
192018
Aerodynamic and aeroelastic uncertainty quantification of NATO STO AVT-251 unmanned combat aerial vehicle
A Da Ronch, J Drofelnik, MPC van Rooij, JC Kok, M Panzeri, A Vo▀
Aerospace Science and Technology 91, 627-639, 2019
182019
Simulation and analysis of scalable non-Gaussian statistically anisotropic random functions
M Riva, M Panzeri, A Guadagnini, SP Neuman
Journal of Hydrology 531, 88-95, 2015
182015
Theory and generation of conditional, scalable sub‐G aussian random fields
M Panzeri, M Riva, A Guadagnini, SP Neuman
Water Resources Research 52 (3), 1746-1761, 2016
142016
Uncertainty quantification and robust design optimization applied to aircraft propulsion systems
M Panzeri, A Savelyev, K Anisimov, R d’Ippolito, A Mirzoyan
6th CEAS AIR & SPACE CONFERENCE AEROSPACE EUROPE 2017, CEAS 2017, 2017
132017
Overview of MDO enhancement in the AGILE project: a clustered and surrogate-based MDA use case
T Lefebvre, N Bartoli, S Dubreuil, R Lombardi, M Panzeri, WF Lammen, ...
Netherlands Aerospace Centre NLR, 2018
62018
A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project
T Lefebvre, N Bartoli, S Dubreuil, M Panzeri, R Lombardi, W Lammen, ...
2018 Multidisciplinary Analysis and Optimization Conference, 3252, 2018
52018
Data-driven optimisation of closure coefficients of a turbulence model
A Da Ronch, M Panzeri, J Drofelnik, R d'Ippolito
Council of European Aerospace Societies, 2017
52017
Integration of Markov mesh models and data assimilation techniques in complex reservoirs
M Panzeri, EL Della Rossa, L Dovera, M Riva, A Guadagnini
Computational Geosciences 20, 637-653, 2016
52016
Low-dimensional Models for Aerofoil Icing
D Massegur, D Clifford, A Da Ronch, R Lombardi, M Panzeri
AIAA Aviation 2022 Forum, 3696, 2022
32022
On the calibration of the intermittency transition turbulence model for wind turbine airfoil by machine learning algorithm
MA Abd Bari, A Da Ronch, M Panzeri, J Drofelnik
31st Congress of the International Council of the Aeronautical Sciences, 2019
32019
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Articles 1–20