Fast prediction of blood flow in stenosed arteries using machine learning and immersed boundary-lattice Boltzmann method

A fast prediction of blood flow in stenosed arteries with a hybrid framework of machine learning and immersed boundary-lattice Boltzmann method (IB–LBM) is presented. The integrated framework incorporates the immersed boundary method for its excellent capability in handling complex boundaries, the m...

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Detalles Bibliográficos
Autores principales: Wang, Li, Dong, Daoyi, Tian, Fang-Bao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459013/
https://www.ncbi.nlm.nih.gov/pubmed/36091404
http://dx.doi.org/10.3389/fphys.2022.953702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459013/
https://www.ncbi.nlm.nih.gov/pubmed/36091404
http://dx.doi.org/10.3389/fphys.2022.953702

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