Reconstructing High-fidelity Plasma Turbulence with Data-driven Tuning of Diffusion in Low Resolution Grids

Kunpeng Li, Robin Varennes, Zhisong Qu, Cho Youngwoo, Kyungtak Lim, Xavier Garbet, Yew-Soon Ong

Keywords: Physics-informed neural networks, Hasegawa-Wakatani model, Closure model, Turbulence

TL;DR: Our NN-based large-eddy closure model accurately captures the turbulence spectrum and flux while operating at just one-eighth of the spatial resolution in each direction, achieving a speed-up of at least a factor of 10.

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Submission Number: 282