Multi-scale Fluid Dynamics Laboratory (MFDL)

연구실 소개

The Multi-scale Fluid Dynamics Laboratory (MFDL) at Yonsei University's School of Mechanical Engineering focuses on advanced computational fluid dynamics, utilizing methods such as the Lattice Boltzmann Method (LBM) and Quantum Lattice Boltzmann Method (QLBM). Their research spans various applications including single-phase and multiphase nanoparticle modeling, biomedical engineering (e.g., automated 4D cardiovascular diagnosis, AI-based lung cancer diagnosis, wearable health monitoring for blood viscosity and dehydration, facial asymmetry analysis, non-invasive urinalysis, CBCT denoising, glucose monitoring), and environmental engineering (e.g., AI-based building wind analysis and thermal environment prediction, development of negative pressure chambers for respiratory infection control). The lab integrates Artificial Intelligence and Quantum Computing into its research to address complex physical and engineering challenges.