Junkai Liu
Papers
1
Total Citations
6
H-Index
1
About
Junkai Liu is a rising researcher in computational fluid dynamics and bio-inspired hydrodynamics, with a focus on understanding the complex interactions within collective animal behaviors. His work centers on the hydrodynamic mechanisms underlying fish schooling, a topic with profound implications for both biology and engineering. In his most-cited study, "Effects of Different Motion Parameters on the Interaction of Fish School Subsystems" (2023), Liu employed a non-iterative, immersed boundary-lattice Boltzmann method (IB-LBM) to conduct high-fidelity two-dimensional numerical simulations. This research systematically explored how variations in motion parameters—such as phase differences and spacing—alter the hydrodynamic forces and energy efficiency experienced by individual fish within a school. By revealing how these subsystems interact, Liu’s contributions provide a foundational framework for designing more efficient underwater vehicles and robotic swarms. With 6 citations already, his work is gaining traction for its rigorous computational approach and its potential to unlock the secrets of natural propulsion systems, marking him as a promising voice in the intersection of fluid mechanics and biological systems.
Research Focus
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Top Papers
- 1