Towards practical applications of deep reinforcement learning in computational fluid dynamics
Other conference contribution, 2024

Author

Saeed Salehi

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Håkan Nilsson

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

W​orkshop on Machine Learning for Fluid Dynamics
Paris, ,

Artificial intelligence for enhanced hydraulic turbine lifetime

Energiforsk AB (VKU33020), 2023-01-01 -- 2027-06-30.

Swedish Energy Agency (VKU33020), 2023-01-01 -- 2027-06-30.

Areas of Advance

Energy

Subject Categories

Fluid Mechanics and Acoustics

More information

Created

4/11/2024