Crypto Ticker:
technology from Arxiv cs.ai

EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs

Sungwon Kim, Juho Song, Seungmin Shin, Guimok Cho, Sangkook Kim, Chanyoung Park
Jun 3, 2026 at 04:00
10 Views
0 Comments

arXiv:2606.03260v1 Announce Type: cross Abstract: Deep learning surrogates for 3D Partial Differential Equations (PDEs) often fail to generalize across geometric transformations because they depend heavily on specific coordinate systems. While equivariant networks offer a solution, they typically rely on local operations in the spatial domain,...

Read the full article at the source.

Was this helpful?
Share:

Comments (0)

Please login to post a comment

No comments yet. Be the first to comment!