The research deals with the analysis, development, application of mathematical models for the integration of complex systems. The analysis is conducted using mathematical methods in several fields such as linear algebra, approximation theory, partial differential equations, optimization and control. Solution methods are developed and applied to domains as diverse as (potential and viscous) flow dynamics, (linear and nonlinear) structural analysis, mass transport, heat transfer and in general to multiscale and multiphysics applications. The methods have been integrated into complex multidisciplinary systems.
Research topics
- CONTROL AND OPTIMIZATION The efficient solution of optimal control or shape optimization problems involving partial differential equations (PDEs) is a problem of interest in computational science and engineering. The goal of an optimal control problem is the minimization/maximization of a given output of interest (expressed by suitable cost functionals) under some constraints, controlling either suitable variables (such as sources, model coefficients or boundary values) or the shape of the domain itself. In the latter case, we deal with shape optimization or optimal shape design problems.
- REDUCED ORDER MODELLING Model order reduction techniques provide an efficient, accurate and reliable way of solving (systems of) parametrized partial differential equations in the many-query or real-time context thanks to offline-online computational splittings, such as (shape) optimization, flow control, characterization, parameter estimation, uncertainty quantification. Our research is mostly based, but not limited to, on certified reduced basis methods and proper orthogonal decomposition for parametrized PDEs.
- FREE SURFACES Techniques to study the position of an interface as a part of the problem itself, when studying the dynamics of a boat, for example.
- FLUID-STRUCTURE INTERACTION Development of efficient algorithms and methods for the coupling between the fluid and structure dynamics finds applications in a large variety of fields dealing with internal or external flows, also at the reduced order level (cardiovascular applications, naval engineering).
- PARALLEL and HIGH PERFORMANCE COMPUTING
- OPEN SOURCE SOFWARE DEVELOPMENT Several open source software libraries are developed and maintained
Research Group
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Antonio De Simone, Professor
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Gianluigi Rozza, Professor
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Andrea Cangiani, Associate Professor
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Giovanni Noselli, Associate Professor
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Michele Girfoglio, Assistant Professor
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Federico Pichi, Assistant Professor
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Laura Meneghetti, Research fellow
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Ivan Prusak, Research fellow
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Giulio Ortali, PhD Student (in cotutela with TU/Eindhoven)
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Moaad Khamlich, PhD Student
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Hammad Kahliq, PhD student (BLESSED project)
Visiting Professors
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Andrea Mola, IMT Lucca
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Giovanni Stabile, Visiting Professor
Main External Collaborators
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Davide Torlo, Università di Roma La Sapienza
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Francesco Ballarin, Università Cattolica, Brescia
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Alfio Quarteroni, Politecnico di Milano
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Peregrina Quintela, Full professor at University of Santiago de Compostela
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François Alouges, CMAP (Ecole Polytechnique), Paris
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Enrique Delgado Avila, External Collaborator
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Nicola Giuliani, External Collaborator
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Alessandro Lucantonio, External Collaborator
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Nirav Vasant Shah, External Collaborator
Collaborating Institutes
- Politecnico di Milano, MOX, Modeling and Scientific Computing Center
- EPFL, Lausanne, Switzerland
- Massachusetts Institute of Technology, Cambridge, US
- Università di Pavia, Italy
- University of Houston, US
- University of Toronto, Canada
- Laboratoire Jacques Louis Lions, Paris VI, France
- Duke University, Durham, US
- Imperial College, London, UK
- Politecnico di Torino, Italy
- Virginia Tech, Blacksburg, Virginia, US
- Scuola Superiore S.Anna, Pisa, Italy
- University of Cambridge, UK
- University of Sevilla, Spain
- University of Santiago de Compostela, Spain
- RWTH Aachen, Germany
- University of Ghent, Belgium