Use of Convolutional Neural Networks for Multifidelity CFD Problems
This work explores the use of Convolutional Neural Networks to reconstruct high-resolution CFD fields from low-resolution inputs, highlighting the promising role of CNN-based surrogate models in enhancing CFD simulation capabilities and accelerating future engineering workflows by enabling fast and accurate predictions...