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Physics-informed attention-based neural network for hyperbolic partial differential equations: application to the Buckley–Leverett problem
Physics-informed neural networks (PINNs) have enabled significant improvements in modelling physical processes described by partial differential equations (PDEs) and are in principle capable of modeling a large variety of differential equations. PINNs are based on simple architectures, and learn the...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085858/ https://www.ncbi.nlm.nih.gov/pubmed/35534639 http://dx.doi.org/10.1038/s41598-022-11058-2 |