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Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations
The goal of this work is to train a neural network which approximates solutions to the Navier-Stokes equations across a region of parameter space, in which the parameters define physical properties such as domain shape and boundary conditions. The contributions of this work are threefold: 1. To demo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Academic Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174474/ https://www.ncbi.nlm.nih.gov/pubmed/34345054 http://dx.doi.org/10.1016/j.jcp.2021.110364 |