198 citations · 203 across the 4 of their papers we have counts for
4 papers
Non-invasive estimation of left ventricle elastance using a multi-compartment lumped parameter model and gradient-based optimization with forward-mode automatic differentiation
Ryno Laubscher, Johan Van Der Merwe, Jacques Liebenberg +1
Accurate estimates of left ventricle elastances based on non-invasive measurements are required for clinical decision-making during treatment of valvular diseases. The present stud…
Dynamic simulation of aortic valve stenosis using a lumped parameter cardiovascular system model with flow regime dependent valve pressure loss characteristics
Ryno Laubscher, Jacques Liebenberg, Philip Herbst
Valvular heart diseases are growing concern in impoverished parts of the world, such as Southern-Africa, claiming more than 31 % of total deaths related to cardiovascular diseases.…
Simulation of multi-species flow and heat transfer using physics-informed neural networks
Ryno Laubscher
In the present work, single- and segregated-network PINN architectures are applied to predict momentum, species and temperature distributions of a dry air humidification problem in…
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…