Lars Davidson

Lars Davidson is a Professor in the Department of Fluid Dynamics at Chalmers University of Technology. His research focuses on numerical simulations of fluid flow and heat transfer, with an emphasis on turbulence modeling for Large Eddy Simulation (LES) and hybrid LES/RANS methods. He has developed computational codes CALC-BFC and CALC-LES based on finite-volume techniques, and recently integrated machine learning to enhance wall functions and turbulence models. Key projects include

• Hybrid LES/RANS for wall-bounded flows
• Machine learning applications in fluid dynamics
• Aeroacoustic noise reduction in automotive and aerospace systems
• Wind turbine load analysis in forested regions

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His publications span 302 articles in journals and conferences, with recent work on

• Neural networks for turbulence closure
• Plasma actuators for drag reduction
• Lattice Boltzmann wall-modeled LES

. Collaborations include teams at Volvo, Siemens, and international research groups.