Journal Article

FZJ-2022-04000

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A generalized framework for unsupervised learning and data recovery in computational fluid dynamics using discretized loss functions

Aulakh, D. J. S. (Corresponding author) ; Beale, S. B.FZJ* ; Pharoah, J. G.

2022
American Institute of Physics [S.l.]

This record in other databases:  

Please use a persistent id in citations: http://hdl.handle.net/2128/32417  doi:10.1063/5.0097480

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Contributing Institute(s):

1. IEK-13 (IEK-13)

Research Program(s):

1. 1215 - Simulations, Theory, Optics, and Analytics (STOA) (POF4-121) (POF4-121)

Appears in the scientific report 2022

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Database coverage:
; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; National-Konsortium ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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