Graphics processing unit/artificial neural network-accelerated large-eddy simulation of swirling premixed flames
Within the scope of reacting flow simulations, the real-time direct integration (DI) of stiff
ordinary differential equations for the computation of chemical kinetics stands as the primary …
ordinary differential equations for the computation of chemical kinetics stands as the primary …
A study on flame reconstruction in a supersonic combustor using deep learning
W Xu, C Liang, H Qiu, J Zhang, W Bao - Physics of Fluids, 2025 - pubs.aip.org
This study investigates the application of a low-order reconstruction method for image
reconstruction of a scramjet combustor. In the encoding network, reconstruction performance …
reconstruction of a scramjet combustor. In the encoding network, reconstruction performance …
Graphics Processing Unit/Artificial Neural Network-accelerated large-eddy simulation of turbulent combustion: Application to swirling premixed flames
M Zhang, R Mao, H Li, Z An, ZX Chen - arXiv preprint arXiv:2402.18858, 2024 - arxiv.org
Within the scope of reacting flow simulations, the real-time direct integration (DI) of stiff
ordinary differential equations (ODE) for the computation of chemical kinetics stands as the …
ordinary differential equations (ODE) for the computation of chemical kinetics stands as the …
An embedded deep learning model discrepancy for computational combustion simulations
RSM Freitas, FA Rochinha - Journal of the Brazilian Society of Mechanical …, 2024 - Springer
In combustion simulations, model discrepancies result from employing simplified physics or
chemistry closure models for achieving a balance between easiness of computation and …
chemistry closure models for achieving a balance between easiness of computation and …