CENN: conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries (Q2083124)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: CENN: conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries |
scientific article; zbMATH DE number 7598908
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | CENN: conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries |
scientific article; zbMATH DE number 7598908 |
Statements
CENN: conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries (English)
0 references
10 October 2022
0 references
physics-informed neural network
0 references
deep energy method
0 references
domain decomposition
0 references
interface problem
0 references
complex geometries
0 references
deep neural network
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0.8500105
0 references
0.83525217
0 references
0.8352218
0 references
0.8349525
0 references
0.8342285
0 references
0.83014566
0 references
0.82983935
0 references
0.82766587
0 references
0.8274218
0 references
