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001     884530
005     20200921142226.0
024 7 _ |a G:(DE-Juel1)jhpc55_20190501
|2 I:(DE-Juel1)JSC-20090406
035 _ _ |a G:(DE-Juel1)jhpc55_20190501
150 _ _ |a Using deep learning to predict statistics of turbulent flows at high Reynolds numbers
|y 2019-05-01 - 2021-04-30
371 _ _ |a Pitsch, Heinz
|c INSTITUT FÜR TECHNISCHE VERBRENNUNG
|b Aachen
|e 52056
|d Germany
372 _ _ |a Using deep learning to predict statistics of turbulent flows at high Reynolds numbers
|s 2019-05-01
|t 2021-04-30
510 1 _ |a VSR/JARA
|w t
550 _ _ |a Using deep learning to predict statistics of turbulent flows at high Reynolds numbers
|0 G:(DE-Juel1)jhpc55_20180501
|w a
680 _ _ |a JSC computation time grant
681 _ _ |a 404 - Heat Energy Technology, Thermal Machines, Fluid Mechanics
909 C O |o oai:juser.fz-juelich.de:884530
|p authority:GRANT
|p authority
980 _ _ |a G
980 _ _ |a AUTHORITY

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