A comparison of neural-network architectures to accelerate high-order h/p solvers
| Autores: | , , , , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2024 |
| País: | España |
| Recursos: | Universidad Politécnica de Madrid |
| Repositório: | Archivo Digital UPM |
| OAI Identifier: | oai:oa.upm.es:88578 |
| Acesso em linha: | https://oa.upm.es/88578/ |
| Access Level: | Acceso aberto |
| Palavra-chave: | Convolutional neural network Convolutional Neural Networks Discontinuous Galerkin Forcings Galerkin methods High-Order Long short-term memory Low order Navier Stokes Equations Neural Network Architecture Neural-Networks Short Term Memory Time step Turbulent flow Vortex flow |
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