研究方向:
多相流数值模拟及应用研究、流固耦合、机器学习、流动控制等。
个人主页:
[1] 谷歌学术:https://scholar.google.com/citations?user=t7-R3ywAAAAJ&hl=en&authuser=1
[2] Research Gate:https://www.researchgate.net/profile/Guangpu-Zhu?ev=hdr_xprf
代表性论文:
[1] Zhu, G., Kou, J., Yao, B., et al. Thermodynamically consistent modelling of two-phase flows with moving contact line and soluble surfactants [J]. Journal of Fluid Mechanics, 2019, 879: 327-359.
[2] Zhu, G., Fang, W., & Zhu, L. Optimizing Low-Reynolds-number predation via optimal control and reinforcement learning. Journal of Fluid Mechanics, 2022, 944: A3.
[3] Zhu, G., & Zhu L. Self-propulsion of an elliptic phoretic disk emitting solute uniformly [J]. Journal of Fluid Mechanics, 2023, 974: A57.
[4] Zhu, G., Brandon, G., Zhu, L., et al. Self-diffusiophoretic propulsion of a spheroidal particle in a shear-thinning fluid [J]. Journal of Fluid Mechanics, 2024, 986: A39.
[5] Zhu, G., Kou, J., Yao, J., et al. A phase-field moving contact line model with soluble surfactants [J]. Journal of Computational Physics, 2020, 405, 109170.
[6] Zhu, G., Chen H, Yao J, et al. Efficient energy-stable schemes for the hydrodynamics coupled phase-field model [J]. Applied Mathematical Modelling, 2019, 70: 82-108. (ESI highly cited paper)
[7] Zhu, G., Kou J, Sun S, et al. Decoupled, energy stable schemes for a phase-field surfactant model [J]. Computer Physics Communications, 2018, 233: 67-77.
[8] Zhu, G., Yao J, Zhang L, et al. Investigation of the Dynamic Contact Angle Using a Direct Numerical Simulation Method [J]. Langmuir, 2016, 32: 11736-11744.
[9] Zhu, G., Kou, J., Sun, S., et al. Numerical approximation of a phase-field surfactant model with fluid flow [J]. Journal of Scientific Computing, 2019, 80: 223-247.
[10] Zhu, G., Zhang, L., Yao, J. Energy capillary number reveals regime transition of imbibition in porous media [J]. Physics of Fluids, 2021, 33(12), 123111.