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

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

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IPP 2024-15.pdf
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Citation

Yudin, Y.(2024). Uncertainty Quantification and Machine Learning Surrogate Models for Multi-Scale High-Performance-Computing Plasma Physics Turbulent Simulations (IPP 2024-15). Garching: Max-Planck-Institut für Plasmaphysik. doi:10.17617/2.3596635.


Cite as: https://hdl.handle.net/21.11116/0000-000F-8092-A
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