An Investigation of LES Wall Modeling for Rayleigh–Bénard Convection via Interpretable and Physics-Aware Feedforward Neural Networks with DNSSource: Journal of the Atmospheric Sciences:;2024:;volume( 081 ):;issue: 002::page 435DOI: 10.1175/JAS-D-23-0094.1Publisher: American Meteorological Society
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| contributor author | Wang, Aaron | |
| contributor author | Yang, Xiang I. A. | |
| contributor author | Ovchinnikov, Mikhail | |
| date accessioned | 2024-12-24T14:28:04Z | |
| date available | 2024-12-24T14:28:04Z | |
| date copyright | 01 Feb. 2024 | |
| date issued | 2024 | |
| identifier other | atsc-JAS-D-23-0094.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4300782 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | An Investigation of LES Wall Modeling for Rayleigh–Bénard Convection via Interpretable and Physics-Aware Feedforward Neural Networks with DNS | |
| type | Journal Paper | |
| journal volume | 81 | |
| journal issue | 2 | |
| journal title | Journal of the Atmospheric Sciences | |
| identifier doi | 10.1175/JAS-D-23-0094.1 | |
| journal fristpage | 435 | |
| journal lastpage | 458 | |
| tree | Journal of the Atmospheric Sciences:;2024:;volume( 081 ):;issue: 002 | |
| contenttype | Fulltext |