24 citations · 66 across the 6 of their papers we have counts for
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cs.LG2026
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…
cs.LG2024★ 12 cited
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization
Ruda Zhang, Negin Alemazkoor
In system analysis and design optimization, multiple computational models are typically available to represent a given physical system. These models can be broadly classified as hi…