Yifan Qin
Papers
1
Total Citations
8
H-Index
1
About
Yifan Qin is a rising researcher in computational mechanics, specializing in fluid-structure interactions (FSI) and advanced numerical modeling. Their work bridges the gap between fluid dynamics and structural mechanics, with a focus on developing hybrid computational methods that enhance simulation accuracy and efficiency. Qin’s most-cited paper, “Numerical modeling of fluid-structure interactions by using a hybrid method of IB-LBM and ANCF” (2025), has already garnered 8 citations, reflecting its timely relevance and practical utility. This study integrates the immersed boundary-lattice Boltzmann method (IB-LBM) with the absolute nodal coordinate formulation (ANCF), offering a robust framework for simulating complex FSI problems—such as flexible structures in fluid flows—without the need for costly remeshing. By addressing key challenges in multiphysics coupling, Qin’s work has implications for aerospace, biomedical engineering, and renewable energy systems. Though early in their career, their contributions demonstrate a strong potential for impact, particularly in advancing computational tools for real-world engineering applications. Qin’s research is a valuable resource for students and researchers seeking efficient, high-fidelity methods for analyzing deformable bodies interacting with fluids.
Research Focus
Key Achievements
Top Papers
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