A dynamic mesh refinement in Physic-Informed Neural Networks for handling Stiff Partial Differential Equations
Stiff Partial Differential Equations (PDEs) pose considerable challenges due to the presence of steep gradients, which often lead to large residuals when employing coarse training mesh grids, while excessively refined grids substantially increase computational costs. To address this trade off, we pr...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-01-01
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| coleção: | Alexandria Engineering Journal |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1110016825011597 |
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