The following pages link to Machine-aided turbulence theory (Q4685415):
Displaying 15 items.
- RANS turbulence model development using CFD-driven machine learning (Q777616) (← links)
- Error estimates for deep learning methods in fluid dynamics (Q2149063) (← links)
- Turbulence theories and statistical closure approaches (Q2233981) (← links)
- Computers and turbulence (Q2282179) (← links)
- The use of the Reynolds force vector in a physics informed machine learning approach for predictive turbulence modeling (Q2333058) (← links)
- A data-driven model based on modal decomposition: application to the turbulent channel flow over an anisotropic porous wall (Q3390383) (← links)
- Interpreted machine learning in fluid dynamics: explaining relaminarisation events in wall-bounded shear flows (Q5077267) (← links)
- Artificial intelligence control of a turbulent jet (Q5114278) (← links)
- Network broadcast analysis and control of turbulent flows (Q5145424) (← links)
- Optimal Closures in a Simple Model for Turbulent Flows (Q5216789) (← links)
- Identifying vortical network connectors for turbulent flow modification (Q5856699) (← links)
- Symmetry-reduced dynamic mode decomposition of near-wall turbulence (Q5872982) (← links)
- Reconstruction of three-dimensional turbulent flow structures using surface measurements for free-surface flows based on a convolutional neural network (Q5884992) (← links)
- Identifying causally significant features in three-dimensional isotropic turbulence (Q6169286) (← links)
- Adjoint-based enforcement of state constraints in PDE optimization problems (Q6615029) (← links)
