activity
20152026
most citedVariational Physics Informed Neural Networks: the role of quadratures and test functions

75 citations · 369 across the 32 of their papers we have counts for

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Showing 2022 · math.NAShow all

6 papers · 2 filters

math.NA2022

Weak scalability of domain decomposition methods for discrete fracture networks

Stefano Berrone, Tommaso Vanzan

Discrete Fracture Networks (DFNs) are complex three-dimensional structures characterized by the intersections of planar polygonal fractures, and are used to model flows in fracture…

math.NA2022★ 67 cited

Enforcing Dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks

S. Berrone, C. Canuto, M. Pintore +1

In this paper, we present and compare four methods to enforce Dirichlet boundary conditions in Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Netw…

math.NA2022★ 1 cited

Mesh Quality Agglomeration algorithm for the Virtual Element Method applied to Discrete Fracture Networks

Tommaso Sorgente, Fabio Vicini, Stefano Berrone +3

We propose a quality-based optimization strategy to reduce the total number of degrees of freedom associated to a discrete problem defined over a polygonal tessellation with the Vi…

math.NA2022★ 29 cited

Solving PDEs by Variational Physics-Informed Neural Networks: an a posteriori error analysis

Stefano Berrone, Claudio Canuto, Moreno Pintore

We consider the discretization of elliptic boundary-value problems by variational physics-informed neural networks (VPINNs), in which test functions are continuous, piecewise linea…

math.NA2022

A PDE-constrained optimization method for 3D-1D coupled problems with discontinuous solutions

Stefano Berrone, Denise Grappein, Stefano Scialò

A numerical method for coupled 3D-1D problems with discontinuous solutions at the interfaces is derived and discussed. This extends a previous work on the subject where only contin…

math.NA2022★ 27 cited

Comparison of standard and stabilization free Virtual Elements on anisotropic elliptic problems

Stefano Berrone, Andrea Borio, Francesca Marcon

In this letter we compare the behaviour of standard Virtual Element Methods (VEM) and stabilization free Enlarged Enhancement Virtual Element Methods (EVEM) with the focus on s…