Data Update
May you notice any obsolete information about one or more PhD thesis, please contact the current webmaster(s) .
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Giacomo Maria Leccese ,
2023-2024 ,
Dissipative solutions to Hamiltonian system, and one conjecture for non autonomous viscous conservation laws and one in measure theory
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Luca Gennaioli ,
2023-2024 ,
Geometric analysis and measure theory in general ambient spaces
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Related publication(s):
- Fourier transform of BV functions, isoperimetry, and discrepancy theory (2024)
- A note about charts built by Eriksson-Bique and Soultanis on metric measure spaces (2024)
- Comments on the regularity of harmonic maps between singular spaces (2024)
- On the Hausdorff Measure of $\mathbbR^n$ with the Euclidean Topology (2023)
- Asymptotics as $s \to 0^+$ of the fractional perimeter on Riemannian manifolds (2023)
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Marco Feder ,
2023-2024 ,
Non-matching and polytopic finite element techniques with applications to multilevel methods
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Valentin Nkana Ngan ,
2023-2024 ,
Hybrid reduced-order methods for segregated fluid-structure interaction solvers in an ALE approach using the Finite Volume Method.
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Related publication(s):
- A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number (2024)
- A segregated reduced order model of a pressure-based solver for turbulent compressible flows (2024)
- A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach (2022)
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Fabio Marconi ,
2022/2023 ,
A general splitting principle on the non-smooth setting and applications
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Davide Manini ,
2022-2023 ,
Isoperimetric inequalities in non-compact spaces
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Francesco Romor ,
2022-2023 ,
Nonlinear Parameter Space and Model Order Reductions enhanced by scientific machine learning
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Related publication(s):
- Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions. (2024)
- Non-linear manifold reduced-order models with convolutional autoencoders and reduced over-collocation method (2023)
- Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions (2023)
- Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations (2023)
- Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method (2022)
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis (2021)
- Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces (2021)
- A local approach to parameter space reduction for regression and classification tasks (2021)
- Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering (2021)
- Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method (2020)
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Ivan Prusak ,
2022-2023 ,
Application of optimisation-based domain-decomposition reduced order models to parameter-dependent fluid dynamics and multiphysics problems
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Martina Zizza ,
2022-2023 ,
Some results on mixing flows and on the blocking fire problem
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Paolo Ventura ,
2022-2023 ,
Benjamin-Feir instability in Stokes waves
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Related publication(s):
- Stokes waves at the critical depth are modulationally unstable (2024)
- First isola of modulational instability of Stokes waves in deep water (2024)
- Infinitely many isolas of modulational instability for Stokes waves (2024)
- Benjamin-Feir instability of Stokes waves in finite depth (2023)
- On the analyticity of the Dirichlet-Neumann operator and Stokes waves (2022)
- Full description of Benjamin-Feir instability of Stokes waves in deep water (2022)
- Benjamin-Feir instability of Stokes waves (2022)
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Simone Carano ,
2022-2023 ,
Area functional and relaxation: an approach in dimension 2 and codimension 2 via strict BV-convergence
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Alessandro Scagliotti ,
2021-2022 ,
Ensembles of affine-control systems with applications to Deep Learning
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Dario Andrini ,
2021-2022 ,
Transient morphing and optimal shape design of synthetic and natural active structures
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Federico Cianci ,
2021-2022 ,
On some viscoelastic problems with memory in time-dependent domains
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Federico Murgante ,
2021-2022 ,
Hamiltonian PDEs in fluid dynamics: local and long time existence results
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Laura Meneghetti ,
2021-2022 ,
A Reduced Order Approach for Artificial Neural Networks applied to Object Recognition
Advisor(s):Industrial Advisor: Daniele Turrin
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Luigi De Masi ,
2021-2022 ,
Existence and properties of minimal surfaces and varifolds with contact angle conditions
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Muhammad Mubarak ,
2021-2022 ,
Doubly Intermittent Maps with Critical Points and Singularities
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Nirav Vasant Shah ,
2021-2022 ,
Coupled parameterized reduced order modelling of thermomechanical phenomena arising in blast furnaces
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Sara Farinelli ,
2021-2022 ,
L^1-optimal transport and functional inequalities in spaces with curvature dimension condition
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Stefano Piani ,
2021-2022 ,
HDG methods and data-driven techniques for the van Roosbroeck model and its applications
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Emanuele Caputo ,
2020-2021 ,
Existence and uniqueness of parallel transport on non-collapsed RCD(K,N) spaces
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Francesco Nobili ,
2020-2021 ,
Geometric and analytic properties of metric measure spaces through Sobolev calculus
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Related publication(s):
- Rigidity and almost rigidity of Sobolev inequalities on compact spaces with lower Ricci curvature bounds (2021)
- A Differential Perspective on Gradient Flows on CAT(K)-Spaces and Applications (2021)
- On master test plans for the space of BV functions (2021)
- A first-order condition for the independence on p of weak gradients (2021)
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Francesco Sapio ,
2020-2021 ,
Dynamical models for viscoelastic materials in domains with a growing crack
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Related publication(s):
- An existence result for the fractional Kelvin–Voigt’s model on time-dependent cracked domains (2021)
- A dynamic model for viscoelasticity in domains with time-dependent cracks (2021)
- Quasistatic Limit of a Dynamic Viscoelastic Model with Memory (2021)
- A dynamic model for viscoelastic materials with prescribed growing cracks (2020)
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Giuliano Klun ,
2020-2021 ,
Topological methods for the search of solutions of nonlinear equations. From planar systems to ordinary and partial differential equations
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Related publication(s):
- Well-Ordered and Non-Well-Ordered Lower and Upper Solutions for Periodic Planar Systems (2021)
- Periodic Solutions of Second-Order Differential Equations in Hilbert Spaces (2021)
- Non-well-ordered lower and upper solutions for semilinear systems of PDEs (2021)
- On Dini derivatives of real functions (2021)
- On functions having coincident p-norms (2020)
- Periodic solutions of nearly integrable Hamiltonian systems bifurcating from infinite-dimensional tori (2020)
- On the topological degree of planar maps avoiding normal cones (2019)
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Ivan Yuri Violo ,
2020-2021 ,
Functional and geometric rigidities of RCD spaces and bi-Lipschitz Reifenberg's theorem in metric spaces
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Marco Tezzele ,
2020-2021 ,
Data-driven parameter and model order reduction for industrial optimisation problems with applications in naval engineering
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Related publication(s):
- A Data-Driven Partitioned Approach for the Resolution of Time-Dependent Optimal Control Problems with Dynamic Mode Decomposition (2023)
- Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method (2022)
- A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems (2021)
- On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis (2021)
- Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing (2021)
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis (2021)
- Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces (2021)
- A local approach to parameter space reduction for regression and classification tasks (2021)
- Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering (2021)
- Enhancing CFD predictions in shape design problems by model and parameter space reduction (2020)
- Reduced order isogeometric analysis approach for pdes in parametrized domains (2020)
- Advances in reduced order methods for parametric industrial problems in computational fluid dynamics (2020)
- Basic ideas and tools for projection-based model reduction of parametric partial differential equations (2020)
- Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method (2020)
- A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces (2019)
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Maria Strazzullo ,
2020-2021 ,
Model Order Reduction for Nonlinear and Time-Dependent Parametric Optimal Flow Control Problems
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Related publication(s):
- A Data-Driven Partitioned Approach for the Resolution of Time-Dependent Optimal Control Problems with Dynamic Mode Decomposition (2023)
- Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction (2022)
- Space-time POD-Galerkin approach for parametric flow control (2022)
- Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences (2021)
- A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences (2021)
- A CERTIFIED REDUCED BASIS Method FOR LINEAR PARAMETRIZED PARABOLIC OPTIMAL CONTROL PROBLEMS IN SPACE-TIME FORMULATION (2021)
- AN EXTENDED PHYSICS INFORMED NEURAL NETWORK FOR PRELIMINARY ANALYSIS OF PARAMETRIC OPTIMAL CONTROL PROBLEMS (2021)
- Consistency of the full and reduced order models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows (2021)
- POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent Optimal Flow Control: an Application to Shallow Water Equations (2020)
- POD–Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation (2020)
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Matteo Zancanaro ,
2020-2021 ,
Model order reduction for compressible turbulent flows: hybrid approaches in physics and geometry parametrization
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Related publication(s):
- A segregated reduced order model of a pressure-based solver for turbulent compressible flows (2024)
- Hierarchical model reduction techniques for flow modeling in a parametrized setting (2021)
- Hybrid Neural Network Reduced Order Modelling for Turbulent Flows with Geometric Parameters (2021)
- Efficient Geometrical parametrization for finite-volume based reduced order methods (2020)
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Tommaso Rossi ,
2020-2021 ,
Heat content asymptotics in sub-Riemannian geometry
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Related publication(s):
- Relative heat content asymptotics in sub-Riemannian manifolds (2024)
- Heat content asymptotics in sub-Riemannian manifolds (2021)
- Integrability of the sub-Riemannian mean curvature at degenerate characteristic points in the Heisenberg group (2021)
- The relative heat content for submanifolds in sub-Riemannian geometry (2021)