Referred publications in International Journals
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N Barral, T Taddei, I Tifouti,
Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity.
Journal of Computational Physics (JCP), 2024.
preprint
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doi
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E Agouzal, JP Argaud, M Bergmann, G Ferté, T Taddei,
A projection-based reduced-order model for parametric
quasi-static nonlinear mechanics using an open-source industrial code.
International Journal for Numerical Methods in Engineering (IJNME), 2024.
preprint
|
doi
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K Smetana, T Taddei, Localized model reduction for nonlinear elliptic partial differential
equations: localized training, partition of unity, and adaptive
enrichment.
SIAM Journal on Scientific Computing (SISC), 2023.
preprint
|
doi
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A Iollo, G Sambataro, T Taddei, A one-shot overlapping Schwartz method for component-based model reduction: application to nonlinear elasticity.
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023.
preprint
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doi
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A Iollo, T Taddei, Mapping of coherent structures in parameterized flows by learning optimal transportation with Gaussian models.
Journal of Computational Physics (JCP), 2022.
preprint |
doi
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A Iollo, G Sambataro, T Taddei,
A projection-based model reduction method for nonlinear mechanics with internal variables: application to thermo-hydro-mechanical systems.
International Journal for Numerical Methods in Engineering (IJNME), 2022.
preprint |
doi
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A Ferrero, T Taddei, L Zhang, Registration-based model reduction of parameterized two-dimensional conservation laws.
Journal of Computational Physics (JCP), 2022.
preprint |
doi
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T Taddei, L Zhang, Registration-based model reduction in complex two-dimensional geometries.
Journal of Scientific Computing (JSC), 2021.
preprint |
doi
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T Taddei, L Zhang, A discretize-then-map approach for the treatment of parameterized geometries in model order reduction.
Computer Methods in Applied Mechanics and Engineering (CMAME), 2021.
preprint |
doi
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T Taddei, L Zhang, Space-time registration-based model reduction of parameterized one-dimensional hyperbolic PDEs.
ESAIM: Mathematical Modelling and Numerical Analysis (M2AN), 2021.
preprint |
doi
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T Taddei,
A registration method for model order reduction: data compression and geometry reduction.
SIAM Journal on Scientific Computing (SISC), 2020.
preprint|
doi
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T Taddei,
An offline/online procedure for dual norm calculations of parameterized functionals: empirical quadrature and empirical test spaces.
Advances in Computational Mathematics (ACOM), 2019.
preprint |
doi
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Y Maday, T Taddei,
Adaptive PBDW approach to state estimation: noisy observations; user-defined update spaces.
SIAM Journal on Scientific Computing (SISC), 2019.
preprint |
doi
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L Fick, Y Maday, AT Patera, T Taddei,
A stabilized POD model for turbulent flows over a range of Reynolds numbers: optimal parameter sampling and constrained projection.
Journal of Computational Physics, 2018.
preprint |
doi
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T Taddei, AT Patera,
A localization strategy for data assimilation; application to state estimation and parameter estimation.
SIAM Journal on Scientific Computing (SISC), 2018.
preprint |
doi
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T Taddei, JD Penn, M Yano, AT Patera,
Simulation-Based Classification; a model-order-reduction approach for Structural Health Monitoring.
Archives of Computational Methods in Engineering (S.I.: Machine Learning in Computational Mechanics), 2018.
preprint |
doi
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P Gallinari, Y Maday, M Sangnier, O Schwander, T Taddei,
Reduced basis’ acquisition by a learning
process for rapid on-line approximation of solution to PDE’s: Laminar Flow Past a Backstep.
Archives of Computational Methods in Engineering (S.I.: Machine Learning in Computational Mechanics), 2018.
preprint |
doi
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T Taddei, An adaptive parametrized-background data-weak approach to variational data assimilation.
ESAIM: Mathematical Modelling and Numerical Analysis, 2017.
preprint |
doi
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T Taddei, JD Penn, AT Patera,
Validation by Monte Carlo sampling of experimental observation functionals.
International Journal for Numerical Methods in Engineering, 2017.
preprint |
doi
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T Taddei, A Quarteroni, S Salsa,
An Offline-Online Riemann solver for one-dimensional systems of conservation laws.
Vietnam Journal of Mathematics, 2016.
preprint |
doi
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T Taddei, S Perotto, A Quarteroni,
Reduced basis techniques for nonlinear conservation laws.
ESAIM: Mathematical Modelling and Numerical Analysis, 2015.
preprint |
doi
Submitted papers
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E Agouzal, T Taddei,
Accelerated construction of projection-based reduced-order models via incremental approaches,
Submitted to Advanced Modeling and Simulation in Engineering Sciences (AMSES), 2024.
paper
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E Agouzal,
JP Argaud, M Bergmann, G Ferté, S Michel-Ponnelle, T Taddei,
Projection-based model order reduction for prestressed concrete with an application to the standard section of a nuclear containment building.
Submitted to Computers and Structures, 2024.
paper
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T Taddei, X Xu, L Zhang,
A non-overlapping optimization-based domain decomposition approach to component-based model reduction of incompressible flows.
Submitted to Journal of Computational Physics (JCP), 2023.
paper
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T Taddei,
Compositional maps for registration in complex geometries.
Submitted to SIAM Journal on Scientific Computing (SISC), 2023.
paper
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T Taddei, An optimization-based registration approach to geometry reduction.
Submitted to International Journal for Numerical Methods in Engineering (IJNME), 2022.
paper
Unpublished
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H Gong, Y Maday, O Mula, T Taddei,
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation, 2019.
paper
Dissertations
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T Taddei,
Model order reduction methods for data assimilation: state estimation and structural health monitoring.
Doctoral thesis, Massachusetts Institute of Technology, Mechanical Engineering, 2016.
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T Taddei,
The reduced basis method: transfinite maps for parameterized domains and conservation laws.
Master thesis, Politecnico di Milano, Mathematical Engineering, 2012.
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T Taddei, Numerical investigation of the coupling between reduced models in Hemodynamics (in Italian).
Bachelor thesis, Politecnico di Milano, Mathematical Engineering, 2010.
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