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Junlin Yuan developed large-scale, high-fidelity numerical simulation methods for complex turbulent shear flows. His research goal is to push the boundaries of the physical understandings of complex and realistic turbulence while developing physics-based data-driven models for a wide range of applications. His research interests encompass non-equilibrium turbulence, wall roughness, wall permeability, turbulence-induced noise, and fluid-structure interaction. The applications of his work span various fields including engineering, environmental science, and bio-locomotion.
Department of Psychology