Andy Wu

Addressing a posteriori performance degradation in neural network subgrid stress models

This work has shown that by ablating away the higher-order terms input into the neural network, the a priori versus a posteriori performance changes become less apparent and when combined, neural networks that use both training data augmentation and a less complex set of inputs have a posteriori performance more reflec...