• Sonuç bulunamadı

Controlling active brownian particles in complex settings

N/A
N/A
Protected

Academic year: 2021

Share "Controlling active brownian particles in complex settings"

Copied!
1
0
0

Yükleniyor.... (view fulltext now)

Tam metin

(1)

OtM2E.2.pdf Optics in the Life Sciences 2017 (BODA, NTM, OMP, OTA, Brain) © 2017 OSA

Controlling Active Brownian Particles in Complex Settings

Sabareesh K. P. Velua*, Erçağ Pinçea, Agnese Callegaria, Parviz Elahia,

Sylvain Giganb, Giovanni Volpea,c,d, Giorgio Volpee a Department of Physics, Bilkent University, Çankaya, 06800 Ankara, Turkey.

b Laboratoire Kastler Brossel, Université Pierre et Marie Curie, École Normale Q1 Supérieure, CNRS, College de France, 24 rue Lhomond, 75005 Paris, France.

c UNAM-National Nanotechnology Research Center, Bilkent University, Çankaya, 06800 Ankara, Turkey. d Physics Department, University of Gothenburg, 405 30 Gothenburg, Sweden

e Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK. *Corresponding author: sabareesh@fen.bilkent.edu.tr

Abstract: We show active Brownian particles (passive Brownian particles in a bacterial bath)

switches between two long-term behaviors, i.e. gathering and dispersal of individuals, in response to the statistical properties of the underlying optical potential.

OCIS codes: (350.4855) Optical tweezers or optical manipulation

Brownian particles undergo stochastic and random motion due to the thermal agitation in the surrounding medium. In recent years, a lot of attention has been devoted to the study of active Brownian particles from the biology and physics communities. These active Brownian particles, often referred to as microswimmers, are able to propel themselves, exhibiting an interplay between random fluctuations and active swimming that drives them into a far-from-equilibrium state. Thanks to this property, they feature a series of novel behaviors that are not attainable by passive particles, including, for example, self-assembly, swarming, and the emergence of other collective properties. In this work [1], I will present recent experimental results where we show that the presence of disorder potential has an influence on the active particles that switches between gathering and dispersal. Interestingly, the statistical properties of the disorder potential allow us to dynamically control the long-term collective behaviour of the active matter system (Figure 1).

Beyond these fundamental interests, these results are significant to engineer autonomous agents interacting with realistic (complex and crowded) surroundings, for example, artificial microswimmers capable of localizing, picking up and delivering nanoscopic cargos in catalysis, bioremediation, chemical sensing and drug delivery.

Fig. 1. Controlling the long-term behavior (dispersal-to-gathering) of the active Brownian particles by dynamically controlling the roughness of the potential (disorder-to-smooth). Adapted from Ref. 1.

References

[1] Erçağ Pinçe, Sabareesh K.P. Velu, Agnese Callegari, Parviz Elahi, Sylvain Gigan, Giovanni Volpe, Giorgio Volpe, “Disorder-mediated crowd

Şekil

Fig. 1. Controlling the long-term behavior (dispersal-to-gathering) of the active Brownian particles by dynamically  controlling the roughness of the potential (disorder-to-smooth)

Referanslar

Benzer Belgeler

User requests are processed as in the hybrid scheme of [3], but the organization of the data to be broadcast is determined by sequential patterns obtained by mining the

The data collection instrument adapted items from Dogan’s (1999) attitude survey, which was selected for four reasons: (a) items were developed with a consideration

In a thermal bath, the effective radial drift of the colloidal particles is negative both in smooth and rough optical potentials; in an active bath, the radial drift is negative only

Dye adsorption and Photocatalytic degradation of RhB for the pure ZnO NR and ZnO NR-rGO nanocomposite (a) Adsorption of MB in dark, (b) degradation under visible irradiation,

• Abhinav Dhall, Monash University • Jyoti Joshi Dhall, Monash University • Sergio Escalera, University of Barcelona • Jeffrey Girard, Carnegie Mellon University • Laszlo

(a) Aerial data, (b) DSM, (c) Ground-truth, (d) Max-flow/min-cut with constant smoothness output, (e) Max-flow/min-cut with adaptive smoothness output, (f) Multi-label optimization

A redshift of the peak emission wavelength was observed in the blue light emitting diodes of InGaN/GaN grown with a higher temperature interlayer that was sandwiched between

Müşterilerin marka ile ilgili itibar algı puanı ve yeniden ürün satın alma niyeti veri madenciliği tekniklerinden karar ağacı metoduyla