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David Hatch

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#machine learning Preprint Sep 2026

A Pre-trained Variational Autoencoder for Gyrokinetic Plasma Turbulence Surrogate Modeling

Machine learning surrogate models offer a promising path toward accelerating plasma turbulence simulations. We present PreVAE-Turb, a surrogate modeling framework that leverages pre-trained variational autoencoders (VAEs) from the Stable Diffusion image generation model for efficient spatial compression of turbulence f...

Ming-Lei Yang, Marshall Nicholson, D. del-Castillo-Negrete et al. · 0 citations

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