Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Bénard ConvectionSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001Author:Hammoud, Mohamad Abed El Rahman
,
Alwassel, Humam
,
Ghanem, Bernard
,
Knio, Omar
,
Hoteit, Ibrahim
DOI: 10.1175/AIES-D-22-0076.1Publisher: American Meteorological Society
|
Collections
Show full item record
| contributor author | Hammoud, Mohamad Abed El Rahman | |
| contributor author | Alwassel, Humam | |
| contributor author | Ghanem, Bernard | |
| contributor author | Knio, Omar | |
| contributor author | Hoteit, Ibrahim | |
| date accessioned | 2023-08-15T10:41:45Z | |
| date available | 2023-08-15T10:41:45Z | |
| date copyright | 01 Jan. 2023 | |
| date issued | 2023 | |
| identifier other | AIES-D-22-0076.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290794 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Bénard Convection | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 1 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0076.1 | |
| page | e220076 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001 | |
| contenttype | Fulltext |