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20212026
most citedNon-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics

1 citations · 2 across the 11 of their papers we have counts for

collaborators

11 papers

math.NA2026

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…

math.NA2026

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)…

physics.flu-dyn2026

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…

math.NA2026

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…

math.NA2026

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…

physics.flu-dyn2024

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…

physics.flu-dyn2024

Generalisation of the Spectral Difference scheme for the diffused-interface five equation model

Niccolò Tonicello, Guido Lodato, Matthias Ihme

The present work focuses on the generalisation of the Spectral Difference (SD) scheme to the reduced Baer-Nunziato system known as five-equation model for the simulation of two imm…

math.NA2024

Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods

Anna Ivagnes, Niccolò Tonicello, Paola Cinnella +1

In this manuscript, we combine non-intrusive reduced order models (ROMs) with space-dependent aggregation techniques to build a mixed-ROM. The prediction of the mixed formulation i…

physics.flu-dyn2023

A high-order diffused-interface approach for two-phase compressible flow simulations using a Discontinuous Galerkin framework

Niccolò Tonicello, Matthias Ihme

A diffused-interface approach based on the Allen-Cahn phase field equation is developed within a high-order Discontinuous Galerkin framework. The interface capturing technique is b…

math.NA2022★ 1 cited

Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics

Niccolò Tonicello, Andrea Lario, Gianluigi Rozza +1

The present works is focused on studying bifurcating solutions in compressible fluid dynamics. On one side, the physics of the problem is thoroughly investigated using high-fidelit…

physics.flu-dyn2021★ 1 cited

Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows

Niccolò Tonicello, Rodrigo C Moura, Guido Lodato +1

This study presents a comprehensive spatial eigenanalysis of fully-discrete discontinuous spectral element methods, now generalizing previous spatial eigenanalysis that did not inc…