Local bi-fidelity field approximation with Knowledge Based Neural Networks for Computational Fluid Dynamics

This work presents a machine learning based method for bi-fidelity modelling. The method, a Knowledge Based Neural Network (KBaNN), performs a local, additive correction to the outputs of a coarse computational model and can be used to emulate either experimental data or the output of a more accurat...

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Detalles Bibliográficos
Autores principales: Pepper, Nick, Gaymann, Audrey, Sharma, Sanjiv, Montomoli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280202/
https://www.ncbi.nlm.nih.gov/pubmed/34262057
http://dx.doi.org/10.1038/s41598-021-93280-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280202/
https://www.ncbi.nlm.nih.gov/pubmed/34262057
http://dx.doi.org/10.1038/s41598-021-93280-y

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