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
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Alwassel, Humam
,
Ghanem, Bernard
,
Knio, Omar
,
Hoteit, Ibrahim
DOI: 10.1175/AIES-D-22-0076.1Publisher: American Meteorological Society
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| 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 | 2024-12-24T15:14:56Z | |
| date available | 2024-12-24T15:14:56Z | |
| date copyright | 01 Jan. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-22-0076.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302048 | |
| 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 | |
| journal lastpage | e220076 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001 | |
| contenttype | Fulltext |