1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.flu-dyn2021★ 1 cited
Application of mixed-variable physics-informed neural networks to solve normalised momentum and energy transport equations for 2D internal convective flow
Ryno Laubscher, Pieter Rousseau
The prohibitive cost and low fidelity of experimental data in industry scale thermofluid systems limit the usefulness of pure data-driven machine learning methods. Physics-informed…
physics.comp-ph2020
A geometric vof method for interface resolved phase change and conservative thermal energy advection
L. C. Malan, A. G. Malan, S. Zaleski +1
We present a novel numerical method to solve the incompressible Navier-Stokes equations for two-phase flows with phase change, using a one-fluid approach. Separate phases are track…