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Quasi-optimal $hp$-finite element refinements towards singularities via
  deep neural network prediction

Quasi-optimal hphphp-finite element refinements towards singularities via deep neural network prediction

13 September 2022
Tomasz Sluzalec
R. Grzeszczuk
Sergio Rojas
W. Dzwinel
Maciej Paszyñski
ArXivPDFHTML

Papers citing "Quasi-optimal $hp$-finite element refinements towards singularities via deep neural network prediction"

4 / 4 papers shown
Title
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements
Janina Enrica Schutte
Martin Eigel
AI4CE
19
1
0
20 Aug 2024
Learning topological operations on meshes with application to block
  decomposition of polygons
Learning topological operations on meshes with application to block decomposition of polygons
Arjun Narayanan
Yulong Pan
Per-Olof Persson
AI4CE
9
2
0
12 Sep 2023
A Deep Double Ritz Method (D$^2$RM) for solving Partial Differential
  Equations using Neural Networks
A Deep Double Ritz Method (D2^22RM) for solving Partial Differential Equations using Neural Networks
C. Uriarte
David Pardo
I. Muga
J. Muñoz‐Matute
22
17
0
07 Nov 2022
$r-$Adaptive Deep Learning Method for Solving Partial Differential
  Equations
r−r-r−Adaptive Deep Learning Method for Solving Partial Differential Equations
Ángel J. Omella
David Pardo
AI4CE
11
4
0
19 Oct 2022
1