The Researchers utilized a data-driven AI and a Deep Learning model to arrive at solutions for engineering problems after training the AI with data sets. These prior data sets can be from existing big data in the relevant engineering industry where there are lots of experimental data available. Also, if data is not available for training the AI, it can be generated using commercially-available CFD (Computational Fluid Dynamics) software on small independent pieces of the full-blown problem.