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Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction

Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction

10 September 2025
Vivek Oommen
Siavash Khodakarami
Aniruddha Bora
Zhicheng Wang
George Karniadakis
    DiffMAI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction"

2 / 2 papers shown
Title
PAINT: Parallel-in-time Neural Twins for Dynamical System Reconstruction
PAINT: Parallel-in-time Neural Twins for Dynamical System Reconstruction
Andreas Radler
Vincent Seyfried
Stefan Pirker
Johannes Brandstetter
Thomas Lichtenegger
112
1
0
14 Oct 2025
Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders
Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders
Fynn Fromme
Christine Allen-Blanchette
Christine Allen-Blanchette
Sebastian Peitz
AI4CESyDa
375
2
0
19 May 2025
1