| Hauptseite > Normsätze > Projekte > Datensatz #857443 > print |
| 001 | 857443 | ||
| 005 | 20200921095353.0 | ||
| 024 | 7 | _ | |a G:(DE-Juel1)jhpc55_20180501 |2 I:(DE-Juel1)JSC-20090406 |
| 035 | _ | _ | |a G:(DE-Juel1)jhpc55_20180501 |
| 150 | _ | _ | |a Using deep learning to predict statistics of turbulent flows at high Reynolds numbers |y 2018-05-01 - 2019-04-30 |
| 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 2018-05-01 |t 2019-04-30 |
| 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_20190501 |w b |
| 680 | _ | _ | |a JSC computation time grant |
| 681 | _ | _ | |a Strömungsforschung |
| 909 | C | O | |p authority:GRANT |p authority |o oai:juser.fz-juelich.de:857443 |
| 980 | _ | _ | |a G |
| 980 | _ | _ | |a AUTHORITY |
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