Zongduo Wu
Papers
1
Total Citations
6
H-Index
1
About
Zongduo Wu is a researcher whose work lies at the intersection of computational fluid dynamics and biological hydrodynamics, with a particular focus on the collective behavior of aquatic organisms. His research explores how fish schools achieve remarkable hydrodynamic efficiency through complex interactions between individuals. In his highly cited 2023 study, Wu employed a non-iterative, immersed boundary-lattice Boltzmann method (IB-LBM) to conduct two-dimensional numerical simulations of fish schools. This work systematically investigated how different motion parameters—such as phase differences and swimming speeds—influence the interaction of fish school subsystems, revealing the intricate balance between individual thrust and collective drag reduction. By quantifying these hydrodynamic effects, Wu’s research provides fundamental insights into the physics underlying schooling behavior, with implications for bio-inspired engineering and swarm robotics. His contributions bridge the gap between biological observation and computational modeling, offering a rigorous framework for understanding how coordinated motion emerges from local interactions. With 6 citations to date, this work has already begun to influence researchers in fluid dynamics and biomechanics, establishing Wu as an emerging voice in the study of collective aquatic locomotion.
Research Focus
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Top Papers
- 1