PF-CFD Team (Prof. Junxiang Yang)
School of Computer Science and Engineering, Faculty of Innovation Engineering, M.U.S.T, 2024
The PF-CFD (Phase-Field Computational Fluid Dynamics) Team is led by Prof. Junxiang Yang, an assistant professor at M.U.S.T. The team aims to develop high-performance mathematical models and computational algorithms in science and engineering.
Within this team, Qiu has been participating in 3 research projects focused on Computational Fluid Dynamics (CFD) and Applied Mathematics. His specific research interests include Biological Modeling, Phase-field Method, and Numerical Algorithms for multiphase flows in complex geometries.
Publications at this team:
- Z. Qiu, Y. Wu, Y. Li, J. Yang, Semi-implicit ADI operator-splitting method with Richardson extrapolation for the phase-field model of curvature-dependent tissue growth on surfaces, Submitted to Journal of Computational Physics (Under Review).
- Y. Wu, Z. Qiu, J. Yang, A three-dimensional multi-phase-field vesicles model and its practical finite difference solver, Computer Physics Communications 321 (2026) 110053.

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