Ferrofluid, as a novel functional material with unique properties, holds significant promise for
applications in various fields, including magnetic sealing technology, bubble removal …

Couette–Poiseuille (CP) flow in the presence of longitudinal grooves is studied by means of
numerical analysis. The flow is actuated by movement of the flat wall and pressure imposed …

In this work, we use physics-informed neural networks (PINN) to model the problems
generally used in computational fluid dynamics (CFD). Since PINN does not need any …

We present a GPU-accelerated method for large scale, coupled incompressible fluid flow
and heat transfer problems. A high-order, nodal discontinuous Galerkin method is utilized to …

Physics-informed neural networks (PINNs) have drawn attention in recent years in
engineering problems due to their effectiveness and ability to tackle problems without …

Couette-Poiseuille (CP) flow in the presence of longitudinal grooves is studied by means 7
of numerical analysis. The flow is actuated by movement of the flat wall and pressure 8 …