6 papers
A novel compact scheme for second-order fluxes applied to the Spectral Difference method
Guido Lodato, Niccolò Tonicello
The discretization of second-order (viscous) terms in Discontinuous Spectral Element Methods (DSEMs) typically relies on an auxiliary gradient variable, whose treatment at element…
Convolutional Symmetric AutoEncoders: enhancing latent stability via differential geometry
G. Li Causi, N. Tonicello, L. Magri +1
Autoencoders (AEs) have emerged as powerful tools for non-linear dimensionality reduction, often surpassing traditional linear methods such as Proper Orthogonal Decomposition (POD)…
End-to-end optimization of subgrid scale models for discontinuous spectral element schemes based on the discrete adjoint method
Nicola Clinco, Niccolò Tonicello, Paola Cinnella +1
In computational fluid dynamics, Large Eddy Simulation (LES) offers a compelling balance between accuracy and computational cost by resolving large-scale flow structures while mode…
A Multi-Fidelity Parametric Framework for Reduced-Order Modeling using Optimal Transport-based Interpolation: Applications to Diffused-Interface Two-Phase Flows
Moaad Khamlich, Niccolò Tonicello, Federico Pichi +1
This work introduces a data-driven, non-intrusive reduced-order modeling (ROM) framework that leverages Optimal Transport (OT) for multi-fidelity and parametric problems in two-pha…
Efficient and Accurate Surrogate Modeling of Turbulent Flows via Space-Dependent Aggregation and Reduced Order Models
Piero Zappi, Anna Ivagnes, Niccolò Tonicello +1
Reynolds-Averaged Navier-Stokes (RANS) models are widely used for turbulent flow simulations due to their computational efficiency, but their accuracy strongly depends on the selec…
A data-driven study on Implicit LES using a spectral difference method
Nicola Clinco, Niccolò Tonicello, Gianluigi Rozza
In this paper, we introduce a data-driven filter to analyze the relationship between Implicit Large-Eddy Simulations (ILES) and Direct Numerical Simulations (DNS) in the context of…