| LDR | | 01781nam u200553 4500 |
| 001 | | 000000482055 |
| 005 | | 20230213145519 |
| 008 | | 230117s2022 |||||||||||||||||c||eng d |
| 020 | |
▼a 9798835549511 |
| 035 | |
▼a (MiAaPQ)AAI29176535 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 618 |
| 100 | 1 |
▼a Heyse, Jan Felix. |
| 245 | 10 |
▼a Data-Driven and Physics-Constrained Uncertainty Quantification for Turbulence Models. |
| 260 | |
▼a [S.l.]:
▼b Stanford University.,
▼c 2022. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2022. |
| 300 | |
▼a 105 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 84-01, Section: B. |
| 500 | |
▼a Advisor: Iaccarino, Gianluca;Alonso, Juan Jose;Eaton, John K. . |
| 502 | 1 |
▼a Thesis (Ph.D.)--Stanford University, 2022. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0212. |
| 650 | 4 |
▼a Viscosity. |
| 650 | 4 |
▼a Turbulence models. |
| 650 | 4 |
▼a Civil engineering. |
| 650 | 4 |
▼a Navier-Stokes equations. |
| 650 | 4 |
▼a Eigen values. |
| 650 | 4 |
▼a Fluid mechanics. |
| 650 | 4 |
▼a Artificial intelligence. |
| 650 | 4 |
▼a Engineering. |
| 650 | 4 |
▼a Mathematics. |
| 650 | 4 |
▼a Mechanics. |
| 650 | 4 |
▼a Physics. |
| 690 | |
▼a 0543 |
| 690 | |
▼a 0204 |
| 690 | |
▼a 0800 |
| 690 | |
▼a 0537 |
| 690 | |
▼a 0405 |
| 690 | |
▼a 0346 |
| 690 | |
▼a 0605 |
| 710 | 20 |
▼a Stanford University. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 84-01B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0212 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2022 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16616932
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202302
▼f 2023 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |