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

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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Bibliographic Details
Main Authors: Li Wang, Daoyi Dong, Fang-Bao Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Physiology
Subjects:
stenosis
immersed boundary-lattice Boltzmann method
machine learning
deep neural network
convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.953702/full

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