This paper concerns the study of optimal (supremum and infimum) uncertai...
Deep learning surrogate models have shown promise in solving partial
dif...
Fully resolving dynamics of materials with rapidly-varying features invo...
Machine learning methods have recently shown promise in solving partial
...
The classical development of neural networks has primarily focused on
le...
Chaotic systems are notoriously challenging to predict because of their
...
The classical development of neural networks has primarily focused on
le...
One of the main challenges in using deep learning-based methods for
simu...
The classical development of neural networks has been primarily for mapp...