Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning
DOI10.1088/1361-6420/ad9cb7MaRDI QIDQ6659678
A. J. Sederman, Matthew P. Juniper, Unnamed Author, Unnamed Author
Publication date: 9 January 2025
Published in: Inverse Problems (Search for Journal in Brave)
Bayesian inferenceflow reconstructionflow-MRI reconstructioninverse Navier-Stokes problemsmachine learning for fluid dynamics
Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Navier-Stokes equations for incompressible viscous fluids (76D05) Variational methods applied to PDEs (35A15) Inverse problems for PDEs (35R30) Stokes and related (Oseen, etc.) flows (76D07) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Finite element methods applied to problems in fluid mechanics (76M10) Numerical quadrature and cubature formulas (65D32) Physiological flows (76Z05) Physiological flow (92C35) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)
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