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physics.flu-dyn2024★ 1 cited
An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations
Thivin Anandh, Divij Ghose, Ankit Tyagi +3
Physics-informed neural networks (PINNs) are able to solve partial differential equations (PDEs) by incorporating the residuals of the PDEs into their loss functions. Variational P…
physics.flu-dyn2019
Local projection stabilized finite element modeling of viscoelastic two-phase flows
Jagannath Venkatesan, Sashikumaar Ganesan
A three-field local projection stabilized finite element method is developed for computations of a 3D-axisymmetric buoyancy driven bubble rising in a liquid column in which either…