Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data

In this video, I describe a new approach for dimensionality reduction that is mesh-agnostic, nonlinear, and scalable for 3D spatial-temporal dynamics, e.g., turbulence. Manuscript: https://arxiv.org/abs/2204.03216 Shaowu Pan, Steven L. Brunton, J. Nathan Kutz Github: https://github.com/pswpswpsw/paper-nif https://github.com/pswpswpsw/nif