| Simulation of multi-species flow and heat transfer using physics-informed neural networks R Laubscher Physics of Fluids 33 (8), 2021 | 89 | 2021 |
| Time-series forecasting of coal-fired power plant reheater metal temperatures using encoder-decoder recurrent neural networks R Laubscher Energy 189, 116187, 2019 | 73 | 2019 |
| CFD study of pulverized coal-fired boiler evaporator and radiant superheaters at varying loads R Laubscher, P Rousseau Applied Thermal Engineering 160, 114057, 2019 | 55 | 2019 |
| Theoretical and experimental modelling of a heat pipe heat exchanger for high temperature nuclear reactor technology R Laubscher, RT Dobson Applied Thermal Engineering 61 (2), 259-267, 2013 | 54 | 2013 |
| Numerical investigation into the effect of burner swirl direction on furnace and superheater heat absorption for a 620 MWe opposing wall-fired pulverized coal boiler R Laubscher, P Rousseau International Journal of Heat and Mass Transfer 137, 506-522, 2019 | 39 | 2019 |
| Application of a mixed variable physics-informed neural network to solve the incompressible steady-state and transient mass, momentum, and energy conservation equations for … R Laubscher, P Rousseau Applied Soft Computing 114, 108050, 2022 | 31 | 2022 |
| Application of generative deep learning to predict temperature, flow and species distributions using simulation data of a methane combustor R Laubscher, P Rousseau International Journal of Heat and Mass Transfer 163, 120417, 2020 | 27 | 2020 |
| Coupled simulation and validation of a utility-scale pulverized coal-fired boiler radiant final-stage superheater R Laubscher, P Rousseau Thermal Science and Engineering Progress 18, 100512, 2020 | 23 | 2020 |
| Numerical investigation on the impact of variable particle radiation properties on the heat transfer in high ash pulverized coal boiler through co-simulation R Laubscher, P Rousseau Energy 195, 117006, 2020 | 23 | 2020 |
| An integrated approach to predict scalar fields of a simulated turbulent jet diffusion flame using multiple fully connected variational autoencoders and MLP networks R Laubscher, P Rousseau Applied Soft Computing 101, 107074, 2021 | 21 | 2021 |
| Analysis of the impact of coal quality on the heat transfer distribution in a high-ash pulverized coal boiler using co-simulation P Rousseau, R Laubscher Energy 198, 117343, 2020 | 15 | 2020 |
| Application of machine learning to develop a real-time air-cooled condenser monitoring platform using thermofluid simulation data RA Haffejee, R Laubscher Energy and AI 3, 100048, 2021 | 14 | 2021 |
| Dynamic simulation of aortic valve stenosis using a lumped parameter cardiovascular system model with flow regime dependent valve pressure loss characteristics R Laubscher, J Liebenberg, P Herbst Medical Engineering and Physics 103838, 2022 | 12 | 2022 |
| UTILIZATION OF BASIC MULTI-LAYER PERCEPTRON ARTIFICIAL NEURAL NETWORKS TO RESOLVE TURBULENT FINE STRUCTURE CHEMICAL KINETICS APPLIED TO A CFD MODEL OF A METHANE/AIR PILOTED JET … R Laubscher, J Hoffmann Journal of Thermal Engineering 4 (2), 1828-1846, 2018 | 12 | 2018 |
| Utilization of artificial neural networks to resolve chemical kinetics in turbulent fine structures of an advanced CFD combustion model R Laubscher Stellenbosch: Stellenbosch University, 2017 | 10 | 2017 |
| Heat transfer modelling of semi-suspension biomass fired industrial watertube boiler at full-and part-load using CFD R Laubscher, S van der Merwe Thermal Science and Engineering Progress 25, 100969, 2021 | 9 | 2021 |
| Integrated mathematical modelling of a 105 t/h biomass fired industrial watertube boiler system with varying fuel moisture content R Laubscher, E De Villiers Energy 228, 120537, 2021 | 9 | 2021 |
| Estimation of simulated left ventricle elastance using lumped parameter modelling and gradient-based optimization with forward-mode automatic differentiation based on … R Laubscher, J Van Der Merwe, P Herbst, J Liebenberg Journal of Biomechanical Engineering 145 (2), 021008, 2023 | 8 | 2023 |
| An enhanced model of particle radiation properties in high ash gas-particle dispersion flow through industrial gas-to-steam heat exchangers R Laubscher, P Rousseau Fuel 285, 119153, 2021 | 8 | 2021 |
| Data-driven forecasting with model uncertainty of utility-scale air-cooled condenser performance using ensemble encoder-decoder mixture-density recurrent neural networks R Raidoo, R Laubscher Energy 238, 122030, 2022 | 7 | 2022 |
