Rich complex behaviour of self-assembled nanoparticles far from equilibrium
| Autor: | Ghaith Makey, Serim Ilday, Gursoy B. Akguc, F. Ömer Ilday, Oguz Gulseren, Ihor Pavlov, Onur Tokel, Ozgun Yavuz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Physics
Multidisciplinary Marangoni effect Science Aggregate (data warehouse) General Physics and Astronomy Nanoparticle 02 engineering and technology General Chemistry Nonlinear phenomena Self-assembly 021001 nanoscience & nanotechnology 01 natural sciences General Biochemistry Genetics and Molecular Biology Article Living systems Nonlinear system Flow (mathematics) Chemical physics 0103 physical sciences 010306 general physics 0210 nano-technology Brownian motion Simple (philosophy) |
| Zdroj: | Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017) Nature Communications |
| ISSN: | 2041-1723 |
| Popis: | A profoundly fundamental question at the interface between physics and biology remains open: what are the minimum requirements for emergence of complex behaviour from nonliving systems? Here, we address this question and report complex behaviour of tens to thousands of colloidal nanoparticles in a system designed to be as plain as possible: the system is driven far from equilibrium by ultrafast laser pulses that create spatiotemporal temperature gradients, inducing Marangoni flow that drags particles towards aggregation; strong Brownian motion, used as source of fluctuations, opposes aggregation. Nonlinear feedback mechanisms naturally arise between flow, aggregate and Brownian motion, allowing fast external control with minimal intervention. Consequently, complex behaviour, analogous to those seen in living organisms, emerges, whereby aggregates can self-sustain, self-regulate, self-replicate, self-heal and can be transferred from one location to another, all within seconds. Aggregates can comprise only one pattern or bifurcated patterns can coexist, compete, endure or perish. Unravelling the fundamental mechanisms of emergence of complex behaviour is key to understanding living systems. Here, the authors provide a simple experimental platform to investigate and control a rich set of complex phenomena, akin to those seen in living organisms, from a nonliving system of colloidal nanoparticles. |
| Databáze: | OpenAIRE |
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