Internship: Accelerated simulation of reactive flows using deep neural networks
King Abdullah University of Science and Technology (KAUST)
Saudi Arabia
Summary
Develop a data-driven reduced-order chemical kinetics solver using autoencoders and neural networks to accelerate CFD reacting-flow simulations for renewable fuels, delivering high-fidelity speedups and hands-on ML implementation across wide thermodynamic conditions.
