Bayesian maximum a posteriori‐estimation of κ turbulence model parameters using algorithmic differentiation in SOLPS‐ITER
Author:
Affiliation:
1. Department of Mechanical Engineering KU Leuven Leuven Belgium
Funder
Euratom Research and Training Programme
Fonds Wetenschappelijk Onderzoek
Publisher
Wiley
Subject
Condensed Matter Physics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ctpp.202100184
Reference34 articles.
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4. Outer divertor of ASDEX Upgrade in low-density L-mode discharges in forward and reversed magnetic field: I. Comparison between measured plasma conditions and SOLPS5.0 code calculations
5. Experimental studies and modeling of complete H-mode divertor detachment in ASDEX Upgrade
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