activity
20182026
most citedAn artificial neural network approach to bifurcating phenomena in computational fluid dynamics

83 citations · 173 across the 26 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

math.NA2025

ROM for Viscous, Incompressible Flow in Polygons -- exponential -width bounds and convergence rate

Francesco Romor, Federico Pichi, Giovanni Stabile +2

We demonstrate exponential convergence of Reduced Order Model (ROM) approximations for mixed boundary value problems of the stationary, incompressible Navier-Stokes equations in pl…

math.NA2025

Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition

Yuanhong Chen, Federico Pichi, Zhen Gao +1

Graph autoencoders have gained attention in nonlinear reduced-order modeling of parameterized partial differential equations defined on unstructured grids. Despite they provide a g…

math.NA2025

Convergence and Sketching-Based Efficient Computation of Neural Tangent Kernel Weights in Physics-Based Loss

Max Hirsch, Federico Pichi

In multi-objective optimization, multiple loss terms are weighted and added together to form a single objective. These weights are chosen to properly balance the competing losses a…

math.NA2025★ 1 cited

Sparse Identification for bifurcating phenomena in Computational Fluid Dynamics

Lorenzo Tomada, Moaad Khamlich, Federico Pichi +1

This work investigates model reduction techniques for nonlinear parameterized and time-dependent PDEs, specifically focusing on bifurcating phenomena in Computational Fluid Dynamic…

math.NA2025★ 1 cited

Nonlinear reduction strategies for data compression: a comprehensive comparison from diffusion to advection problems

Isabella Carla Gonnella, Federico Pichi, Gianluigi Rozza

This work presents an overview of several nonlinear reduction strategies for data compression from various research fields, and a comparison of their performance when applied to pr…

math.NA2025

Deflation-based certified greedy algorithm and adaptivity for bifurcating nonlinear PDEs

Federico Pichi, Maria Strazzullo

This work deals with tailored reduced order models for bifurcating nonlinear parametric partial differential equations, where multiple coexisting solutions arise for a given parame…