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Federico Pichi
Federico Pichi
Assistant Professor (RtdA) at SISSA
Email verificata su sissa.it - Home page
Titolo
Citata da
Citata da
Anno
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics
F Pichi, F Ballarin, G Rozza, JS Hesthaven
Computers & Fluids 254, 105813, 2023
372023
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction
F Pichi, M Strazzullo, F Ballarin, G Rozza
ESAIM: Mathematical Modelling and Numerical Analysis 56 (4), 1361-1400, 2022
242022
Reduced basis approaches for parametrized bifurcation problems held by non-linear Von Kármán equations
F Pichi, G Rozza
Journal of Scientific Computing 81, 112-135, 2019
242019
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method
M Pintore, F Pichi, M Hess, G Rozza, C Canuto
Advances in Computational Mathematics 47, 1-39, 2021
162021
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs
F Pichi, B Moya, JS Hesthaven
Journal of Computational Physics 501, 112762, 2024
132024
A Reduced Order Modeling technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation
F Pichi, A Quaini, G Rozza
SIAM Journal on Scientific Computing 42 (5), B1115–B1135, 2020
132020
Model order reduction for bifurcating phenomena in fluid‐structure interaction problems
M Khamlich, F Pichi, G Rozza
International Journal for Numerical Methods in Fluids 94 (10), 1611-1640, 2022
102022
Artificial neural network for bifurcating phenomena modelled by nonlinear parametrized PDEs
F Pichi, F Ballarin, G Rozza, JS Hesthaven
PAMM 20 (S1), e202000350, 2021
92021
Reduced order models for parametric bifurcation problems in nonlinear PDEs
F Pichi
SISSA, 2020
92020
Reduced basis approximation and a posteriori error estimation: applications to elasticity problems in several parametric settings
DBP Huynh, F Pichi, G Rozza
Numerical Methods for PDEs: State of the Art Techniques, 203-247, 2018
62018
Reduced order models for the buckling of hyperelastic beams
F Pichi, G Rozza
arXiv preprint arXiv:2305.19764, 2023
32023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
M Khamlich, F Pichi, G Rozza
arXiv preprint arXiv:2308.13840, 2023
12023
Chapter 5: Reduced Basis Approaches to Bifurcating Nonlinear Parametrized Partial Differential Equations
F Pichi, F Ballarin, G Rozza
Advanced Reduced Order Methods and Applications in Computational Fluid …, 2022
12022
Chapter 2: Finite Element-Based Reduced Basis Method in Computational Fluid Dynamics
F Pichi, M Strazzullo, F Ballarin, G Rozza
Advanced Reduced Order Methods and Applications in Computational Fluid …, 2022
12022
Chapter 15: Reduced Order Models for Bifurcating Phenomena in Fluid-Structure Interaction Problems
M Khamlich, F Pichi, G Rozza
Advanced Reduced Order Methods and Applications in Computational Fluid …, 2022
2022
Reduced order methods for nonlinear parametric problems with branching solutions
F Pichi, MW Hess, A Quaini, G Rozza
ScienceOpen Posters, 2018
2018
Enhancing Deep Learning for Slow-Decaying Problems: An Optimal Transport-based Approach with Sinkhorn Loss and Wasserstein Kernel
M Khamlich, F Pichi, G Rozza
DEEP LEARNING AND REDUCED ORDER MODELING FOR DIFFERENTIAL EQUATIONS
NR FRANCO, F PICHI, S FRESCA
Graph convolutional autoencoder architecture for model order reduction of parametrized PDEs
F Pichi, B Moya, JS Hesthaven
MCSS
C Bigoni, B Bonev, P Cazeaux, N Discacciati, J Duan, P Gatto, H Gorji, ...
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