.png){kind=icon}
.png){kind=icon}
Return
Random organization in periodically driven systems
.png){kind=icon}
PRE
AI
DOI：10.1038/nphys891.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Understanding self-organization is one of the key tasks for controlling and manipulating the structure of materials at the micro- and nanoscale. In general, self-organization is driven by interparticle potentials and is opposed by the chaotic dynamics characteristic of many driven non-equilibrium systems. Here we introduce a new model that shows how the irreversible collisions that generally produce diffusive chaotic dynamics can also cause a system to self-organize to avoid future collisions. This can lead to a self-organized non-fluctuating quiescent state, with a dynamical phase transition separating it from fluctuating diffusing states. We apply the model to recent experiments on periodically sheared particle suspensions where a transition from reversible to irreversible behaviour was observed. New experiments presented here exhibit remarkable agreement with this simple model. More generally, the model and experiments provide new insights into how driven systems can self-organize.
Keywords:
PHASE-TRANSITIONS
NONCOLLOIDAL SUSPENSIONS
ABSORBING STATES
SHEARED SUSPENSIONS
DISORDERED MEDIA
SELF-DIFFUSION
MODELS
MICROSTRUCTURE
SANDPILES
RHEOLOGY
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
18.4
Papers:
6.7K
Citations:
5.7W