Maryam Aliakbari

Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains

Physics informed neural networks to solve forward and inverse fluid flow and heat transfer problems

Transfer learning enhanced physics-informed neural networks for forward and inverse transport problems in heterogeneous domains

Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks

Estimating spray characteristics of the air-blast atomizer of a typical jet engine using definition of the new non-dimensional number K: numerical and experimental study

Study of pressure-swirl atomizer with spiral path at design point and outside of design point

Physics-Informed Neural Networks for Forward and Inverse Multiphysics Heat Transfer Problems