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Federico Pichi
Federico Pichi
Assistant Professor (RtdA) at SISSA
Correu electrònic verificat a sissa.it - Pàgina d'inici
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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
722023
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
552024
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
402022
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
322019
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
202021
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
162020
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
152022
Reduced order models for parametric bifurcation problems in nonlinear PDEs
F Pichi
SISSA, 2020
142020
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
112018
Real Time Reduced Order Computational Mechanics
G Rozza, F Ballarin, L Scandurra, F Pichi
SISSA Springer Series, 2024
10*2024
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
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
62023
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications
OM Morrison, F Pichi, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 432, 117458, 2024
42024
Reduced order models for the buckling of hyperelastic beams
F Pichi, G Rozza
Reduction, Approximation, Machine Learning, Surrogates, Emulators and …, 2024
42024
A stochastic perturbation approach to nonlinear bifurcating problems
IC Gonnella, M Khamlich, F Pichi, G Rozza
arXiv preprint arXiv:2402.16803, 2024
32024
Optimal transport-based displacement interpolation with data augmentation for reduced order modeling of nonlinear dynamical systems
M Khamlich, F Pichi, M Girfoglio, A Quaini, G Rozza
arXiv preprint arXiv:2411.08750, 2024
22024
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
22022
Deflation-based certified greedy algorithm and adaptivity for bifurcating nonlinear PDEs
F Pichi, M Strazzullo
arXiv preprint arXiv:2501.12361, 2025
12025
Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows
S Rathore, PC Africa, F Ballarin, F Pichi, M Girfoglio, G Rozza
arXiv preprint arXiv:2410.20828, 2024
12024
Neural empirical interpolation method for nonlinear model reduction
M Hirsch, F Pichi, JS Hesthaven
arXiv preprint arXiv:2406.03562, 2024
12024
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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