87 citations · 141 across the 13 of their papers we have counts for
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cs.LG2022★ 4 cited
Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes
Mike Y. Michelis, Robert K. Katzschmann
Enhancing neural networks with knowledge of physical equations has become an efficient way of solving various physics problems, from fluid flow to electromagnetism. Graph neural ne…
cs.LG2021
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
Pingchuan Ma, Tao Du, John Z. Zhang +4
The computational design of soft underwater swimmers is challenging because of the high degrees of freedom in soft-body modeling. In this paper, we present a differentiable pipelin…