A finite element/neural network framework for modeling suspensions of non-spherical particles. Concepts and medical applications

DOI10.1007/s10013-021-00477-9zbMath1468.76041arXiv2009.10818OpenAlexW3136085911MaRDI QIDQ2022479

Yanyan Li

Publication date: 29 April 2021

Published in: Vietnam Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.10818

zbMATH Keywords

Navier-Stokes equationsfinite element methodneural networkblood flow modelingnon-spherical particle

Mathematics Subject Classification ID

Finite element methods applied to problems in fluid mechanics (76M10) Suspensions (76T20) Physiological flows (76Z05) Physiological flow (92C35) Basic methods in fluid mechanics (76M99)

Related Items (1)

Differentiable hybrid neural modeling for fluid-structure interaction

Uses Software

• GASCOIGNE
• PyTorch

Cites Work

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• ARTIFICIAL BOUNDARIES AND FLUX AND PRESSURE CONDITIONS FOR THE INCOMPRESSIBLE NAVIER-STOKES EQUATIONS

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