COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > DAMTP Statistical Physics and Soft Matter Seminar > Pattern formation by turbulent cascades

## Pattern formation by turbulent cascadesAdd to your list(s) Download to your calendar using vCal - Michel Fruchart (ESPCI Paris)
- Tuesday 03 October 2023, 13:00-14:00
- Center for Mathematical Sciences, Lecture room MR4.
If you have a question about this talk, please contact Sarah Loos. Fully developed turbulence is a universal and scale-invariant chaotic state characterized by an energy cascade from large to small scales where the cascade is eventually arrested by dissipation. In this talk, we will discuss how to harness these seemingly structureless turbulent cascades to generate patterns. Pattern formation entails a process of wavelength selection, which in its simplest incarnation can be traced to the linear instability of a homogeneous state. By contrast, the mechanism we propose here is fully non-linear. It is triggered by a non-dissipative arrest of turbulent cascades: energy piles up at an intermediate scale, which is neither the system size nor the smallest scales at which energy is usually dissipated. The tunable wavelength of these cascade-induced patterns can be set by a non-dissipative transport coefficient called odd viscosity ubiquitous in chiral fluids ranging from bio-active to quantum systems. Beyond fluids with odd viscosity, we will discuss how cascade-induced patterns may also arise in other structured fluids as well as in contexts such as pulverization where mass rather than energy cascades. This talk is part of the DAMTP Statistical Physics and Soft Matter Seminar series. ## This talk is included in these lists:- All CMS events
- Center for Mathematical Sciences, Lecture room MR4
- DAMTP Statistical Physics and Soft Matter Seminar
- Soft Matter
- bld31
Note that ex-directory lists are not shown. |
## Other listsFresh Thinking At Fitz power Cambridge Networks Forum## Other talksGravitational edge mode for 2D gravity TBA Is there a Newtonian equation for modelling the movements of biological organisms? Closing Comments Towards Ambient Physiological Sensing for Digital Healthcare g = 2 hyperelliptic curve invariants, Siegel modular functions and applications |