A nonlocal physics-informed deep learning framework using the peridynamic differential operator
The Physics-Informed Neural Network (PINN) framework introduced recently incorporates physics into deep learning, and offers a promising avenue for the solution of partial differential equations (PDEs) as well as identification of the equation parameters. The performance of existing PINN approaches,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV,
2021-10-15T17:57:23Z.
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| Subjects: | |
| Online Access: | Get fulltext |