Tag: Navier-Stokes

3 entries

Autoencoders vs. Numerical Analysis--Informed Manifold Learning for Navier--Stokes Flows

CFD

A comparative study benchmarking autoencoders against parsimonious diffusion maps (PDMs) grounded in classical numerical analysis for reduced-order modeling of Navier-Stokes turbulent flows.

See LICENSE file Navier-StokesReduced-Order ModelingAutoencoder

SPUS PDE-UNet-36M Navier-Stokes PWC Model

CFD

A 36M-parameter UNet-based model for solving Navier-Stokes equations using a point-wise coupling strategy for high-accuracy flow field prediction.

See LICENSE file Navier-StokesPDE SolvingUNet

SPUS-PDE-UNet-36M Navier-Stokes Supervised Learning Model

CFD

A 36M-parameter supervised learning model based on U-Net architecture designed for solving Navier-Stokes fluid dynamics PDEs, hosted on HuggingFace.

See LICENSE file PDENavier-StokesU-Net

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