7 citations · 12 across the 8 of their papers we have counts for
3 papers · 1 filter
Attention Is All You Need (to Avoid Spurious Oscillations)
Jinyoung Jeong, Joseph B. Choi, Xinlun Cheng +3
Can attention move a shock across several cells in one update without breaking it? We develop a conservative, fixed grid finite-volume scheme in which a CFL-conditioned attention f…
G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes
Jack T. Beerman, Tyler J. Abele, Mehdi Taghizadeh +6
Physics-aware recurrent convolutional networks (PARC) have demonstrated strong performance in predicting nonlinear spatiotemporal dynamics by embedding differential operators direc…
Size is Not the Solution: Deformable Convolutions for Effective Physics Aware Deep Learning
Jack T. Beerman, Shobhan Roy, H. S. Udaykumar +1
Physics-aware deep learning (PADL) enables rapid prediction of complex physical systems, yet current convolutional neural network (CNN) architectures struggle with highly nonlinear…