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2301.07541
Cited By

Generative Adversarial Networks to infer velocity components in rotating
turbulent flows

v1v2 (latest)

Generative Adversarial Networks to infer velocity components in rotating turbulent flows

18 January 2023

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Papers citing "Generative Adversarial Networks to infer velocity components in rotating turbulent flows"

6 / 6 papers shown

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

Siavash Khodakarami

George Karniadakis

215

5

0

10 Sep 2025

Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments

Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments

Abhijeet Vishwasrao

Sai Bharath Chandra Gutha

Andres Cremades

Catherine Gorle

Hossein Azizpour

Ricardo Vinuesa

194

8

0

30 May 2025

Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by
Conditional Diffusion Models

Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion ModelsCommunications Physics (Commun. Phys.), 2024

Luca Centurioni

299

9

0

31 Oct 2024

Turbulence Scaling from Deep Learning Diffusion Generative Models

Turbulence Scaling from Deep Learning Diffusion Generative ModelsJournal of Computational Physics (JCP), 2023

242

21

0

10 Nov 2023

A multiscale and multicriteria Generative Adversarial Network to
synthesize 1-dimensional turbulent fields

A multiscale and multicriteria Generative Adversarial Network to synthesize 1-dimensional turbulent fields

Carlos Granero Belinchon

Manuel Cabeza Gallucci

215

2

0

31 Jul 2023

Multi-scale data reconstruction of turbulent rotating flows with Gappy
POD, Extended POD and Generative Adversarial Networks

Multi-scale data reconstruction of turbulent rotating flows with Gappy POD, Extended POD and Generative Adversarial NetworksJournal of Fluid Mechanics (JFM), 2022

229

32

0

21 Oct 2022

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