I am a fifth-year Ph.D. student. I gained my B.Eng. degree from Sun Yat-Sen University, majoring in Theoretical and Applied Mechanics.
I tried different research topics when I was an undergraduate. I studied optimization in structural damage detection and Rayleigh-Bénard convection simulation. The second experience raised my interest in computational fluid dynamics.
My research interest now is geophysical and astrophysical fluid dynamics. I am studying the longevity of the Great Red Spot on Jupiter using the spectral method. I am curious on why the Great Red Spot can survive for such a long time. I am also trying to recover some observation results in our CFD simulations.
I enjoy hiking and photography in my leisure time. I especially like taking photos of interesting astronomy phenomena. I enjoy seeing the most astonishing phenomena in the sky. Here are two photos I took before. One is the Venus transit on Jun 6th, 2012, taken in Guangzhou, China. The other is the total solar eclipse on Aug. 17th, 2017, taken in Madras, Oregon. One of my life goals is to see Venus transit one more time, which will be in 2117 🙂
- Zhang, Aidi, and Philip Marcus. “Longevity of Stratified Anticyclones with Thermal Dissipation and Cyclones with Viscous Dissipation and Their Relevance to Jupiter.” APS Division of Fluid Dynamics Meeting Abstracts. 2021.
- Zhang, A. and Marcus, P., 2019. How the Great Red Spot of Jupiter Stays Alive while Losing Energy through Viscous and Radiative Dissipation. Bulletin of the American Physical Society.
- Marcus, Philip, and Aidi Zhang. “Vertical Aspect Ratios and Longevities of Complex Vortices and the Application to GFD Flows and Astrophysical Vortices.” Bulletin of the American Physical Society 66 (2021).
- Marcus, Philip S., et al. “On the Shedding of Jupiter’s Red Flakes.” AGU Fall Meeting Abstracts. Vol. 2019. 2019.
- Marcus, Philip, et al. “The Shedding of Jupiter’s Red Flakes Does Not Mean It Is Dying.” APS Division of Fluid Dynamics Meeting Abstracts. 2019.
- YIN, Z., ZHANG, A. et.al., 2017. Structure damage detection based on improved big bang-bigcrunch algorithm. Acta Scientiarum Naturalium Universitatis Sunyatseni, (6), p.16.