Optimized Flow Control based on Automatic Differentiation in Compressible Turbulent Channel Flows

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This study presents an automatic differentiation (AD)-based optimization framework for flow control in compressible turbulent channel flows.

• We developed a fully differentiable boundary condition framework that allows for the precise calculation of gradients with respect to boundary control variables.
• This facilitates the efficient optimization of flow control methods.
• The framework's adaptability and effectiveness are demonstrated using two boundary conditions: opposition control and tunable permeable walls.