Jingbang Liu
Room 917
Niels Henrik Abels hus
0851 Oslo, Norway
Welcom to my homepage!
I am now a postdoct at the Department of Mathematics, University of Oslo, within the group of Prof. Andreas Carlson. I will be working on bio-physics related problems, in particular modelling of cell membrane folding. My postdoc is also part of the AUTORHYTHM project.
I did my PhD at the Mathematics Institute, University of Warwick, under the supervision of Prof. James Sprittles and Prof. Duncan Lockerby. We were mainly interested fluids at nanoscale, where inter-atomic forces and thermal fluctuations are no longer negligible. We mainly used fluctuating hydrodynamics for modeling, and numerical simulations (either solving the fluctuating hydrodynamics numerically, or use molecular dynamics) for validation. In particular I was looking into the effects of solids side walls to the fluctuation amplitude and the spontaneous rupture of nanoscale thin liquid films. My PhD was funded by the EPSRC CDT in Modelling of Heterogeneous Systems.
I did my MSc at the Mathematical Institute, University of Oxford in Mathematical Modelling and Scientific Computing and graduated with a merit. My dissertation was supervised by Prof. Irene Moroz and Dr. Hannah Christensen. We studied the dynamical properties of El Niño Southern Oscillation (ENSO) using the Vallis 1986 model and explored the possible impacts of Greenhouse Warming on ENSO.
I did my BSc in Mathematics and Applied Mathematics at both Shandong University (PRC) and University of Manchester (UK) in a 2+2 program.
You can find my CV here.
news
| Dec 1, 2025 |  Our paper “Stochastic elastohydrodynamics of contact and coarsening during membrane adhesion “(pdf) is now avaliable in Journal of Fluid Mechanics!  In this paper we proposed a mathematical model based on the stochastic thin film equation to describe the dynamics of the adhesion of two elastic sheets under the influence of thermal fluctuations. We first looked at the initiation of the adhesion, where two sheets must be brought closer to each other by thermal fluctuations and predicted its average waiting time. We then investigated the coarsening of adhesion patches numerically and interestingly, despite the strong similarity between the stochastic thin film equation and the Cahn–Hilliard equation, we find that the coarsening follows a different power law from that expected under classical Ostwald ripening. A simple scaling argument was provided to explain these observations; however, a more thorough investigation, possibly starting from first principles, is needed to explain the findings rigorously. |
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| Oct 30, 2024 | Our open access paper “Mean first passage times and Eyring–Kramers formula for fluctuating hydrodynamics “(pdf) is now avaliable in Journal of Statistical Mechanics: Theory and Experiment! In this paper we formally derived the new Eyring–Kramers law for gradient flow with conserved quantities which was used in the previous papaer to explain the rare rupture of nano thin films. We also showed in details how to numerically evaluate the newly predicted mean first passage time with a few examples. We hope this work will make it easier to apply the Eyring–Kramers law in other fields of science, where randomness at small scales can have a significant impact at larger scales. |
| Jun 13, 2024 | My PhD thesis “Fluctuating Hydrodynamics of Nanoscale Thin Films” has been awarded the 2024 Faculty (of Science, Engineering and Medicine) Thesis Prize  |
| Dec 1, 2023 | I have just started a new roll as a postdoc at the Department of Mathematics, University of Oslo, within the group of Prof. Andreas Carlson!  |
| Sep 11, 2023 | Our open access letter “Rogue Nanowaves: A Route to Film Rupture” is now avaliable in Physical Review Fluids! In this letter we used the rare event theory to explain why linearly stable thin liquid films would rupture at nanoscale. The theoretical prediction of the average rupture time agrees very well with numerical simulations (both solving fluctuating hydrodynamics numerically and molecular dynamics simulations) results. This theoretical framework shows great potential that can be adapted to other problems as well. |
