[HTML][HTML] Deciphering the dynamics of distorted turbulent flows: Lagrangian particle tracking and chaos prediction through transformer-based deep learning models
Turbulent flow is a complex and vital phenomenon in fluid dynamics, as it is the most
common type of flow in both natural and artificial systems. Traditional methods of studying …
common type of flow in both natural and artificial systems. Traditional methods of studying …
Deep learning forecasts a strained turbulent flow velocity field in temporal lagrangian framework: Comparison of LSTM and GRU
The subject of this study presents an employed method in deep learning to create a model
and predict the following period of turbulent flow velocity. The applied data in this study are …
and predict the following period of turbulent flow velocity. The applied data in this study are …