Keynote speakers
Politecnico di Milano
Scientific machine learning in computational medicine: modeling of nonlinear dynamics in complex geometries
CNR-IMATI
Multi-index stochastic collocation: a multi-fidelity method for uncertainty quantification in engineering problems
Contributed talks
Elena Bachini (University of Padua) Shallow water equations versus zero-inertia approximation
Alberto Bucci (Chalers University) Randomized algorithms for streaming low-rank approximation in tree tensor network format
Bernardo Collufio (Gran Sasso Science Institute) About Positivity of Runge-Kutta Semi-Lagrangian Scheme for BGK Equation
Dario Coscia (SISSA, UvA) Bayesian Autoregressive and Recurrent Neural Networks for Neural PDE Solvers Uncertainty Quantification and Drug Discovery
Davide Elia De Falco (Scuola Superiore Meridionale) ELM training for Physics-Informed Neural Networks
Nikita Deniskin (Scuola Normale Superiore) A new Abate-Whitt method for Numerical Inverse Laplace Transform
Davide Fassino (Politecnico di Torino) Higher-order Stabilization-free Virtual Element Method
Martin Fleurial (La Sapienza, University of Rome) Two-dimensional macroscopic models of multi-lane traffic-flow with lane-changing conditions on complex geometries
Nicola Rares Franco (MOX, Politecnico di Milano) Robust surrogate models for parametrized PDEs using bayesian mesh-informed neural networks
Luigi Greco (University of Pavia) Benefits of high-order phase-field models in fracture mechanics
Gianmarco Gurioli (Università degli Studi di Firenze) Solving Functional Differential Equations with Piecewise Continuous Arguments via Hamiltonian Boundary Value Methods
Anna Ivagnes (SISSA) Parametric Intrusive Reduced Order Models Enhanced with Machine Learning Correction Terms
Lorenzo Piccinini (University of Bologna) Numerical Methods for Matrix and Tensor Least Squares Problems
Matteo Raviola (EPFL) Multilevel Active Subspaces method
Ettore Saetta (University of Naples Federico II) Autoencoders for Aerodynamic Predictions
Cristina Sgattoni (Istituto per la BioEconomia (IBE), CNR - GNCS INdAM) A physics-aware data-driven surrogate approach for fast atmospheric radiative transfer inversion
Erika Temellini (Politecnico di Milano) A space-time adaptive procedure for the VMS-Smagorinsky modeling of high Reynolds number flows
Philipp Zilk (University of the Bundeswehr Munich) Isogeometric analysis on polar domains with corners: Graded meshes and error estimates
Francesco Zigliotto (Scuola Normale Superiore) Modelling advection on distance-weighted directed networks
Posters
Michele Bucelli (MOX, Politecnico di Milano) Electro-mechano-fluid modeling of the human heart
Alessandra Cancrini (MOX, Politecnico di Milano) A polytopal discontinuous Galerkin method for the pseudo-stress formulation of the unsteady Stokes problem
Yuri Caridi (Politecnico di Torino) A non-linear least square minimization algorithm applied to the JWL parameters determination in the isentropic expansion for highly energetic materials
Davide Carrara (Politecnico di Milano) Implicit Neural Field Reconstruction on Complex Shapes from Scattered Data
Giovanni Canali (MOX, Politecnico di Milano) Accelerating Scientific Simulations with PINA 0.2
Edoardo Centofanti (Università di Pavia) Learning the Hodgkin-Huxley Model with Operator Learning Techniques
Mihaela Chiappetta (Politecnico di Torino) An efficient inverse design approach combining bayesian optimization and inversion
Nicola Clinco (SISSA) A data-driven study on Implicit LES using a spectral difference method
Gabriele Codega (SISSA) Machine Learning-based quadratic closures for non-intrusive Reduced Order Models
Armando Maria Monforte (Università di Pavia) TDG methods for scattering by periodic structures
Federica Mugnaioni (Scuola Normale Superiore) Preconditioning techniques for immersed boundary solvers
Valentina Pederzoli (SISSA) A coupled mathematical and numerical model for protein spreading and tissue atrophy with applications to Alzheimer’s disease
Guglielmo Padula (SISSA) Constrained Generative Models for shape parametrisation
Irena Radišić (Politecnico di Milano) Fully coupled multiscale models of cardiac electromechanics
Pierfrancesco Siena (SISSA) Hybrid and projection-based Reduced Order Models for biomedical applications
Luca Sosta (MOX, Politecnico di Milano) An Interpretable Graph-Based Digital Twin towards Satellite Thermal Control and Predictive Maintenance
Lorenzo Tomada (SISSA) Sparse Identification for bifurcating phenomena in Computational Fluid Dynamics
Sofia Tonali (Università di Pavia) Mathematical modeling of Multielectrode Arrays with Pluripotent Stem Cell-Derived Cardiomyocytes
Chiara Zugarini (Institute for Applied Mathematics (IAC-CNR) - University of Florence) Cloud detection using machine learning techniques with application to IASI measurements