Hunting mermaids in real space: known knowns, known unknowns and unknown unknowns

Royall, C. Patrick

doi:10.1039/c8sm00400e

Cited by 52 publications

(34 citation statements)

References 91 publications

(131 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These amoebae appear to be in a nonequilibrium steady state. However, such an inhomogeneous state is reminiscent of mesophases in passive systems, but here activity suppresses demixing, playing the role of long-ranged repulsion in socalled "mermaid" systems [57][58][59]75] and consistent with some recent predictions of active liquids [41]. We note that, for this emergence of motility, E is substantially larger than E Q .…”

Section: B Activity-induced Phase Transitionssupporting

confidence: 87%

Competing active and passive interactions drive amoebalike crystallites and ordered bands in active colloids

et al. 2020

Self Cite

View full text Add to dashboard Cite

Swimmers and self-propelled particles are physical models for the collective behavior and motility of a wide variety of living systems, such as bacteria colonies, bird flocks, and fish schools. Such artificial active materials are amenable to physical models which reveal the microscopic mechanisms underlying the collective behavior. Here we study colloids in a dc electric field. Our quasi-two-dimensional system of electrically driven particles exhibits a rich and exotic phase behavior exhibiting passive crystallites, motile crystallites, an active gas, and banding. Amongst these are two mesophases, reminiscent of systems with competing interactions. At low field strengths activity suppresses demixing, leading to motile crystallites. Meanwhile, at high field strengths, activity drives partial demixing to traveling bands. We parametrize a particulate simulation model which reproduces the experimentally observed phases.

show abstract

Section: B Activity-induced Phase Transitionssupporting

confidence: 87%

Competing active and passive interactions drive amoebalike crystallites and ordered bands in active colloids

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the case of weakly charged colloid particles with solvent-induced effective short-range attraction, clusters of particles of various sizes and shapes or other assemblies are formed, which leads to inhomogeneities on a mesoscopic length scale [7][8][9][10][11][12]. Similar inhomogeneities or self-assembly into different aggregates can occur in other systems with interactions between the particles of the form of the so-called 'mermaid' or SALR potential [13], for example in globular proteins in water [7,14,15]. In the SALR class of potentials, the interactions consist of short range attraction (SA) and long-range repulsion (LR).…”

Section: Introductionmentioning

confidence: 99%

“…13). In order to calculate the correlation functions, we numerically solved the set of equations (2.17) forC 11 (k 0 ),C 22 (k 0 ), andC 12 (k 0 ).The correlation functions in this approximation, equations (3.4)-(3.5), are compared with the MF result in figure1for T * = 0.28, ζ = 0.1, and c = 0.02.…”

mentioning

confidence: 99%

Effects of fluctuations on correlation functions in inhomogeneous mixtures

Ciach¹,

Patsahan²,

Meyra³

2020

Condens. Matter Phys.

View full text Add to dashboard Cite

Approximate expressions for correlation functions in binary inhomogeneous mixtures are derived in a framework of the mesoscopic theory [Ciach A., Mol. Phys., 2011, 109, 1101. Fluctuation contribution is taken into account in a Brazovskii-type approximation. Explicit results are obtained for two model systems. In the two models, the diameters of the hard cores of particles are equal, and the interactions favour a periodic arrangement of alternating species A and B. However, the optimal distance between the species A and B is much different in the two models. Theoretical results for different temperature and volume fractions of the two components are compared with the results of Monte Carlo simulations, and the structure is illustrated by simulation snapshots. Despite different interaction potentials and different length scale of the local ordering, properties of the correlation functions in the two models are very similar.

show abstract

“…Phenomena associated with adsorption on solid surfaces have been studied for decades for systems ranging from noble gases to liquid crystals and polymers [1][2][3][4]. Still, adsorption in systems with competing interactions, such as short-range attraction and long-range repulsion (SALR) [5][6][7][8][9][10][11][12], have attracted attention only recently [13,14]. The long-range repulsion between the particles originates typically from screened electrostatic interactions, and the attraction is often mediated by complex solvents.…”

Section: Introductionmentioning

confidence: 99%

Adsorption in Mixtures with Competing Interactions

Litniewski

Ciach

2021

Molecules

View full text Add to dashboard Cite

A binary mixture of oppositely charged particles with additional short-range attraction between like particles and short-range repulsion between different ones in the neighborhood of a substrate preferentially adsorbing the first component is studied by molecular dynamics simulations. The studied thermodynamic states correspond to an approach to the gas–crystal coexistence. Dependence of the near-surface structure, adsorption and selective adsorption on the strength of the wall–particle interactions and the gas density is determined. We find that alternating layers or bilayers of particles of the two components are formed, but the number of the adsorbed layers, their orientation and the ordered patterns formed inside these layers could be quite different for different substrates and gas density. Different structures are associated with different numbers of adsorbed layers, and for strong attraction the thickness of the adsorbed film can be as large as seven particle diameters. In all cases, similar amount of particles of the two components is adsorbed, because of the long-range attraction between different particles.

show abstract

Hunting mermaids in real space: known knowns, known unknowns and unknown unknowns

Cited by 52 publications

References 91 publications

Competing active and passive interactions drive amoebalike crystallites and ordered bands in active colloids

Competing active and passive interactions drive amoebalike crystallites and ordered bands in active colloids

Effects of fluctuations on correlation functions in inhomogeneous mixtures

Adsorption in Mixtures with Competing Interactions

Contact Info

Product

Resources

About