Junction conditions for one-dimensional network hemodynamic model for total cavopulmonary connection using physically informed deep learning technique

DOI10.1515/rnam-2024-0023MaRDI QIDQ6636764

Sergey S. Simakov, Alexander A. Danilov, Tatiana K. Dobroserdova, A. Isaev

Publication date: 12 November 2024

Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)

zbMATH Keywords

3D mesh generation computational hemodynamics Fontan circulation physics-informed neural networks blood flow dynamics physically informed neural network

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Physiological flows (76Z05) Physiological flow (92C35)

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