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1 Ergebnisse
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An adaptive knowledge-based data-driven approach for turbul..:
Zhu, Yangmo
;
Dinh, Nam T.
;
Saini, Nadish
.
Nuclear Engineering and Design. 393 (2022) - p. 111814 , 2022
Link:
https://doi.org/10.1016/j.nucengdes.2022.111814
RT Journal T1
An adaptive knowledge-based data-driven approach for turbulence modeling using ensemble learning technique under complex flow configuration: 3D PWR sub-channel with DNS data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.nucengdes.2022.111814&Exemplar=1&LAN=DE A1 Zhu, Yangmo A1 Dinh, Nam T. A1 Saini, Nadish A1 Bolotnov, Igor A. PB Elsevier BV YR 2022 SN 0029-5493 JF Nuclear Engineering and Design VO 393 SP 111814 LK http://dx.doi.org/https://doi.org/10.1016/j.nucengdes.2022.111814 DO https://doi.org/10.1016/j.nucengdes.2022.111814 SF ELIB - SuUB Bremen
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