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Umberto Zerbinati
Umberto Zerbinati
DPhil University of Oxford
E-mail confirmado em maths.ox.ac.uk - Página inicial
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PETScML: Second-order solvers for training regression problems in Scientific Machine Learning
S Zampini, U Zerbinati, G Turkyyiah, D Keyes
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-12, 2024
52024
PINNs and GaLS: a priori error estimates for shallow physics informed neural networks applied to elliptic problems
U Zerbinati
IFAC-PapersOnLine 55 (20), 61-66, 2022
52022
When rational functions meet virtual elements: the lightning virtual element method
M Trezzi, U Zerbinati
Calcolo 61 (3), 35, 2024
32024
A nodal ghost method based on variational formulation and regular square grid for elliptic problems on arbitrary domains in two space dimensions
C Astuto, D Boffi, G Russo, U Zerbinati
arXiv preprint arXiv:2402.04048, 2024
32024
ngsPETSc: A coupling between NETGEN/NGSolve and PETSc
J Betteridge, PE Farrell, M Hochsteger, C Lackner, J Schöberl, S Zampini, ...
Journal of Open Source Software 9 (104), 7359, 2024
12024
Preconditioned normal equations for solving discretised partial differential equations
L Lazzarino, Y Nakatsukasa, U Zerbinati
arXiv preprint arXiv:2502.17626, 2025
2025
Kinetic Derivation of an Inviscid Compressible Leslie–Ericksen Equation for Rarified Calamitic Gases
PE Farrell, G Russo, U Zerbinati
Multiscale Modeling & Simulation 22 (4), 1585-1607, 2024
2024
Time-harmonic waves in Korteweg and nematic-Korteweg fluids
PE Farrell, U Zerbinati
arXiv preprint arXiv:2411.13354, 2024
2024
A comparison of the Coco-Russo scheme and $\protect\mathghost $-FEM for elliptic equations in arbitrary domains
C Astuto, A Coco, U Zerbinati
arXiv preprint arXiv:2405.16582, 2024
2024
An adaptive mesh refinement strategy to ensure quasi-optimality of finite element methods for self-adjoint Helmholtz problems
T van Beeck, U Zerbinati
arXiv preprint arXiv:2403.06266, 2024
2024
A Priori Error Analysis For A Penalty Finite Element Method
U Zerbinati
2022
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