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Title:

GAN-based generation of realistic compressible-flow samples from incomplete data

Document type:
Zeitschriftenaufsatz
Author(s):
Abaidi, R.; Adams, N.A.
Journal title:
Computers & Fluids
Year:
2024
Journal volume:
269
Pages contribution:
106113
Fulltext / DOI:
doi:10.1016/j.compfluid.2023.106113
Publisher:
Elsevier BV
E-ISSN:
0045-7930
Date of publication:
01.01.2024
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