Data-driven non-intrusive reduced-order modeling via Operator Inference for the 
Hasegawa-Wakatani equations

Gahr, C.

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Data-driven non-intrusive reduced-order modeling via Operator Inference for the Hasegawa-Wakatani equations

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Gahr, C.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

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Gahr, C. (2022). Data-driven non-intrusive reduced-order modeling via Operator Inference for the Hasegawa-Wakatani equations. Poster presented at DPG-Frühjahrstagung der Fachverbände Physik der Hadronen und Kerne, Plasmaphysik und des Arbeitskreises Beschleunigerphysik, Mainz, Virtual.

Cite as: https://hdl.handle.net/21.11116/0000-000A-2B1F-5

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