Towards Applications of Deep Learning Techniques to Establish Surrogate Models 
for the Power Exhaust in Tokamaks

Brenzke, M.; Wiesen, S.; Bernert, M.; ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society

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Towards Applications of Deep Learning Techniques to Establish Surrogate Models for the Power Exhaust in Tokamaks

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Bernert, M.
Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society;

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Brenzke, M., Wiesen, S., Bernert, M., & ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society (2019). Towards Applications of Deep Learning Techniques to Establish Surrogate Models for the Power Exhaust in Tokamaks. Poster presented at DPG-Frühjahrstagung 2019 der Sektion Materie und Kosmos (SMuK), München.

Cite as: https://hdl.handle.net/21.11116/0000-0003-2442-A

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