Hybrid turbulence modeling is a class of computational fluid dynamics methodologies that strategically combine different turbulence modeling approaches within a single simulation domain to leverage the computational efficiency of certain methods (e.g., Reynolds-averaged Navier-Stokes, RANS) in some flow regions while employing more computationally intensive, high-fidelity methods (e.g., Large Eddy Simulation, LES) in others. This research field investigates techniques for seamlessly coupling these disparate models, typically combining RANS near solid boundaries with LES or Wall-Modeled LES (WMLES) in the outer flow, aiming to achieve a balance between computational cost and simulation accuracy for complex turbulent flows encountered in various engineering and scientific applications.