Data Update
May you notice any obsolete information about one or more PhD thesis, please contact the current webmaster(s) .
-
Marco Feder ,
2023-2024 ,
Non-matching and polytopic finite element techniques with applications to multilevel methods
Advisor(s):
Related publication(s):
-
Valentin Nkana Ngan ,
2023-2024 ,
Hybrid reduced-order methods for segregated fluid-structure interaction solvers in an ALE approach using the Finite Volume Method.
Advisor(s):
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)
-
Fabio Marconi ,
2022/2023 ,
A general splitting principle on the non-smooth setting and applications
Advisor(s):
Related publication(s):
-
Davide Manini ,
2022-2023 ,
Isoperimetric inequalities in non-compact spaces
Advisor(s):
-
Francesco Romor ,
2022-2023 ,
Nonlinear Parameter Space and Model Order Reductions enhanced by scientific machine learning
Advisor(s):
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)
-
Ivan Prusak ,
2022-2023 ,
Application of optimisation-based domain-decomposition reduced order models to parameter-dependent fluid dynamics and multiphysics problems
Advisor(s):
-
Martina Zizza ,
2022-2023 ,
Some results on mixing flows and on the blocking fire problem
Advisor(s):
Related publication(s):
-
Paolo Ventura ,
2022-2023 ,
Benjamin-Feir instability in Stokes waves
Advisor(s):
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)
-
Simone Carano ,
2022-2023 ,
Area functional and relaxation: an approach in dimension 2 and codimension 2 via strict BV-convergence
Advisor(s):
-
Alessandro Scagliotti ,
2021-2022 ,
Ensembles of affine-control systems with applications to Deep Learning
Advisor(s):
Related publication(s):
-
Dario Andrini ,
2021-2022 ,
Transient morphing and optimal shape design of synthetic and natural active structures
Advisor(s):
Related publication(s):
-
Federico Cianci ,
2021-2022 ,
On some viscoelastic problems with memory in time-dependent domains
Advisor(s):
Related publication(s):
-
Federico Murgante ,
2021-2022 ,
Hamiltonian PDEs in fluid dynamics: local and long time existence results
Advisor(s):
Related publication(s):
-
Laura Meneghetti ,
2021-2022 ,
A Reduced Order Approach for Artificial Neural Networks applied to Object Recognition
Advisor(s):Industrial Advisor: Daniele Turrin
-
Luigi De Masi ,
2021-2022 ,
Existence and properties of minimal surfaces and varifolds with contact angle conditions
Advisor(s):
Related publication(s):
-
Muhammad Mubarak ,
2021-2022 ,
Doubly Intermittent Maps with Critical Points and Singularities
Advisor(s):
-
Nirav Vasant Shah ,
2021-2022 ,
Coupled parameterized reduced order modelling of thermomechanical phenomena arising in blast furnaces
Advisor(s):
Related publication(s):
-
Sara Farinelli ,
2021-2022 ,
L^1-optimal transport and functional inequalities in spaces with curvature dimension condition
Advisor(s):
Related publication(s):
-
Stefano Piani ,
2021-2022 ,
HDG methods and data-driven techniques for the van Roosbroeck model and its applications
Advisor(s):
Related publication(s):
-
Emanuele Caputo ,
2020-2021 ,
Existence and uniqueness of parallel transport on non-collapsed RCD(K,N) spaces
Advisor(s):
Related publication(s):
-
Francesco Nobili ,
2020-2021 ,
Geometric and analytic properties of metric measure spaces through Sobolev calculus
Advisor(s):
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)
-
Francesco Sapio ,
2020-2021 ,
Dynamical models for viscoelastic materials in domains with a growing crack
Advisor(s):
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)
-
Giuliano Klun ,
2020-2021 ,
Topological methods for the search of solutions of nonlinear equations. From planar systems to ordinary and partial differential equations
Advisor(s):
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)
-
Ivan Yuri Violo ,
2020-2021 ,
Functional and geometric rigidities of RCD spaces and bi-Lipschitz Reifenberg's theorem in metric spaces
Advisor(s):
-
Marco Tezzele ,
2020-2021 ,
Data-driven parameter and model order reduction for industrial optimisation problems with applications in naval engineering
Advisor(s):
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)
-
Maria Strazzullo ,
2020-2021 ,
Model Order Reduction for Nonlinear and Time-Dependent Parametric Optimal Flow Control Problems
Advisor(s):
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)
-
Matteo Zancanaro ,
2020-2021 ,
Model order reduction for compressible turbulent flows: hybrid approaches in physics and geometry parametrization
Advisor(s):
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)
-
Tommaso Rossi ,
2020-2021 ,
Heat content asymptotics in sub-Riemannian geometry
Advisor(s):
-
Daniele Agostinelli ,
2019-2020 ,
Mathematical models for biological motility: From peristaltic crawling to plant nutations
Advisor(s):
Related publication(s):
- Nutations in plant shoots: Endogenous and exogenous factors in the presence of mechanical deformations (2021)
- Nutations in growing plant shoots as a morphoelastic flutter instability (2021)
- MicroMotility: State of the art, recent accomplishments and perspectives on the mathematical modeling of bio-motility at microscopic scales (2020)
- Nutations in growing plant shoots: The role of elastic deformations due to gravity loading (2019)
- Peristaltic Waves as Optimal Gaits in Metameric Bio-Inspired Robots (2018)
-
Ekaterina Mukoseeva ,
2019-2020 ,
Second variation techniques for stability in geometric inequalities
Advisor(s):
Related publication(s):