Gaussian Process Surrogate Models for Uncertainty Quantification in Multiscale 
Turbulent Transport Simulations

Yudin, Y.; Lakhlili, J.; Luk, O.; Toussaint, U. von; Coster, D.

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Gaussian Process Surrogate Models for Uncertainty Quantification in Multiscale Turbulent Transport Simulations

Yudin, Y., Lakhlili, J., Luk, O., Toussaint, U. v., & Coster, D. (2021). Gaussian Process Surrogate Models for Uncertainty Quantification in Multiscale Turbulent Transport Simulations. Poster presented at DPG-Tagung der Sektion Materie und Kosmos (SMuK), Virtual.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-1E3C-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-1E3D-3

Genre: Poster

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Creators:
Yudin, Y.¹, Author
Lakhlili, J.², Author
Luk, O.², Author
Toussaint, U. von², Author
Coster, D.¹, Author

Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309
2Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344

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Language(s): eng - English

Dates: Submitted: 2021

Publication Status: Submitted

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Title: DPG-Tagung der Sektion Materie und Kosmos (SMuK)

Place of Event: Virtual

Start-/End Date: 2021-08-30 - 2021-09-03

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Title: Verhandlungen der Deutschen Physikalischen Gesellschaft

Other : Verhandl. DPG

Source Genre: Journal

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Publ. Info: Bad Honnef : DPG

Pages: - Volume / Issue: (VI) 56 (5) Sequence Number: P 17.23 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/04200195
ISSN: 0420-0195