Marco Panzeri - Dissemin

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All papers authored by Marco Panzeri

This paper was not found in any repository, but could be made available legally by the author.

This paper was not found in any repository, but could be made available legally by the author.

2018 Andrea Da Ronch, Jernjej Drofelnik, Michel van Rooij, Marco Panzeri

ORCID

, Roberto d'Ippolito

On Uncertainty Quantification of the Flow Predictions around the NATO STO AVT-251 Unmanned Combat Aerial Vehicle

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This paper was not found in any repository, but could be made available legally by the author.

Nathalie Bartoli, Thierry Lefebvre, Sylvain Dubreuil, Marco Panzeri

ORCID

, Roberto d'Ippolito, Kirill Anisimov, Andrey Savelyev

Robust Nacelle Optimization Design investigated in the AGILE European project

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Thierry Lefebvre, Nathalie Bartoli, Sylvain Dubreuil, Marco Panzeri

ORCID

, Riccardo Lombardi, Wim Lammen, Mengmeng Zhang, Imco van Gent, Pier Davide Ciampa

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Download from elib.dlr.de

This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Abd Bari, A. Da Ronch, M. Panzeri

ORCID

, J. Drofelnik

On the calibration of the intermittency transition turbulence model for wind turbine airfoil by machine learning algorithm

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This paper is made freely available by the publisher.

Marco Panzeri

ORCID

, Andrey Savelyev, Kirill Anisimov, Roberto d’Ippolito, Artur Mirzoyan

Uncertainty quantification and robust design optimization applied to aircraft propulsion systems

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This paper was not found in any repository, but could be made available legally by the author.

2017 A. M. Tartakovsky, M. Panzeri

ORCID

, G. D. Tartakovsky, A. Guadagnini

ORCID

Uncertainty Quantification in Scale‐Dependent Models of Flow in Porous Media

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Thierry Lefebvre, A. Savelyev, Nathalie Bartoli, Sylvain Dubreuil, Marco Panzeri

ORCID

, Riccardo Lombardi, Roberto D'Ippolito, Pierluigi Della Vecchia, Fabrizio Nicolosi, K. Anisimov, Pier Davide Ciampa

Methodological enhancements in MDO process investigated in the AGILE European project

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Andrea Da Ronch, Marco Panzeri

ORCID

, M. Anas Abd Bari, Roberto d’Ippolito, Matteo Franciolini

Adaptive design of experiments for efficient and accurate estimation of aerodynamic loads

Download from eprints.soton.ac.uk

This paper was not found in any repository, but could be made available legally by the author.

2016 M. Panzeri

ORCID

, M. Riva

ORCID

, A. Guadagnini, S. P. Neuman

Theory and generation of conditional, scalable sub-Gaussian random fields

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2015 Monica Riva

ORCID

, Marco Panzeri

ORCID

, Alberto Guadagnini, Shlomo P. Neuman

Simulation and analysis of scalable non-Gaussian statistically anisotropic random functions

Download from manuscript.elsevier.com

This paper was not found in any repository, but could be made available legally by the author.

M. Panzeri

ORCID

, E. L. Della Rossa, L. Dovera, M. Riva

ORCID

, A. Guadagnini

Integration of Markov mesh models and data assimilation techniques in complex reservoirs

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M. Panzeri

ORCID

, M. Riva

ORCID

, A. Guadagnini, S. P. Neuman

EnKF coupled with groundwater flow moment equations applied to Lauswiesen aquifer, Germany

Download from manuscript.elsevier.com

This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2014 M. Panzeri

ORCID

, E. Della Rossa, L. Dovera, M. Riva, A. Guadagnini

Integration of Markov Mesh Models and Ensemble Data Assimilation in Reservoirs with Complex Geology

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This paper was not found in any repository, but could be made available legally by the author.

M. Panzeri

ORCID

, M. Riva

ORCID

, A. Guadagnini, S. P. Neuman

Comparison of Ensemble Kalman Filter groundwater-data assimilation methods based on stochastic moment equations and Monte Carlo simulation

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This paper was not found in any repository, but could be made available legally by the author.

2013 Marco Panzeri

ORCID

, Monica Riva, Alberto Guadagnini, Shlomo P. Neuman

Ensemble Kalman Filter assimilation of transient groundwater flow data: stochastic moment solution versus traditional Monte Carlo approach

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This paper is made freely available by the publisher.

M. Panzeri

ORCID

, M. Riva

ORCID

, A. Guadagnini, S. P. Neuman

Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow

Download from onlinelibrary.wiley.com

This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2012 M. Panzeri

ORCID

, A. Guadagnini, M. Riva

Optimization of pilot points location for geostatistical inversion of groundwater flow

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This paper was not found in any repository, but could be made available legally by the author.

2011 Monica Riva

ORCID

, Marco Panzeri

ORCID

, Alberto Guadagnini, Shlomo P. Neuman

Role of model selection criteria in geostatistical inverse estimation of statistical data- and model-parameters

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