research
∙
03/29/2023
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks
In this work we develop a novel approach using deep neural networks to r...
share
research
∙
02/21/2023
Hybrid Neural-Network FEM Approximation of Diffusion Coefficient in Elliptic and Parabolic Problems
In this work we investigate the numerical identification of the diffusio...
research
∙
03/09/2022
Convergence Rate Analysis of Galerkin Approximation of Inverse Potential Problem
In this work we analyze the inverse problem of recovering the space-depe...
research
∙
11/03/2021
Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions
Deep Ritz methods (DRM) have been proven numerically to be efficient in ...
research
∙
01/22/2020