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Uncertainty Quantification and Machine Learning Surrogate Models for Multi-Scale High-Performance-Computing Plasma Physics Turbulent Transport Simulations

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Yudin,  Y.       
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

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Yudin, Y. (2024). Uncertainty Quantification and Machine Learning Surrogate Models for Multi-Scale High-Performance-Computing Plasma Physics Turbulent Transport Simulations. PhD Thesis, TUM School of Computation, Information and Technology, Technische Universität München, München.


Cite as: https://hdl.handle.net/21.11116/0000-0010-2230-1
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