“…There have been several studies examining bidisperse mixtures of passive and active particles which have shown that both motility induced phase separation and species separation can occur [61][62][63][64]. It has also been demonstrated that active particles can move passive particles and organize them into particular states even when there are only a small number of active particles present, which is known as active doping [65][66][67][68].…”
“…There have been several studies examining bidisperse mixtures of passive and active particles which have shown that both motility induced phase separation and species separation can occur [61][62][63][64]. It has also been demonstrated that active particles can move passive particles and organize them into particular states even when there are only a small number of active particles present, which is known as active doping [65][66][67][68].…”
“…Three main morphologies are observed: clusters of high density phase, bands that percolate the system, and bubbles of low density phase in a sea of high density phase. Both potentials seem to present all these phases, but in WCA they are considerably shifted towards higher densities, due to a greater overapping of particles, which results in a lower effective diameter 32 . The colours in figure 3 reflect the level of hexatic order of each particle, determined by ψ 6 .…”
Section: A How the Phase Diagram Depends On The Definition Of Pementioning
confidence: 99%
“…As in Ref. 32 we use the total density of the system instead of the packing fraction, in order not to depend on the particle's diameter. As an initial configuration, we prepare the system in a hexagonal lattice.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…In particular, expanding an idea we proposed in ref. 32 , we have focused on the non-Gaussian parameter α 2 (see Eq. ( 7)).…”
Section: B Non-gaussian Parameter As a Way To Identify Mipsmentioning
The two-dimensional Active Brownian Particles system is meant to be composed of hard disks, that show excluded volume interactions, usually simulated via molecular dynamics using pure repulsive potentials. We show that the softness of the chosen potential plays a role in the result of the simulation, focusing on the case of the emergence of Motility Induced Phase Separation. In a pure hard-sphere system with no traslational diffusion,the phase diagram should be completely determined by their density and Péclet number. However, we have found two additional effects that affect the phase diagram in the ABP model we simulate: the relative strength of the traslational diffusion compared to the propulsion term and the overlapping of the particles. As we show, the second effect can be strongly mitigated if we use, instead of the standard Weeks-Chandler-Andersen potential, a harder one, the pseudo-hard spheres potential. Moreover, in determining the boundary of our phase space, we have tried different approaches to detect MIPS and concluded that observing dynamical features, via the non-Gaussian parameter, is more efficient than observing structural ones, via the local density distribution function. We also demonstrate that the Vogel-Fulcher equation successfully reproduces the decay of the diffusion as a function of density, except for very high density cases. Thus, the ABP system behaves similarly to a fragile glass in this regard.
“…More importantly, it is possible to adapt well-established theoretical formalisms to the case of active matter to account for the most elemental properties of dissipative matter and the non-equilibrium transport and self-assembly of materials composed of active colloidal particles, see, e.g., Refs. [92,[104][105][106][107][108]. Undoubtedly, this is one of the most difficult problems, from conceptual point of view, and of greater scientific challenge that Colloidal Soft Matter Physics will face in the following decades.…”
Colloidal soft matter is a class of materials that exhibit rich equilibrium and non-equilibrium 0thermodynamic properties, it self-assembles (spontaneously or driven externally) to form a large diversity of structures, and its constituents display an interesting and complex transport behavior. In this contribution, we review the essential aspects and the modern challenges of Colloidal SoftMatter Physics. Our main goal is to provide a balanced discussion of the various facets of this highly multidisciplinary field, including experiments, theoretical approximations and models for molecular simulations, so that readers with various backgrounds could get both the basics and a broader, more detailed physical picture of the field. To this end, we first put emphasis on the colloidal physics, which allows us to understand the main driving (molecular and thermodynamic) forces between colloids that give rise to a wide range of physical phenomena. We also draw attention to some particular problems and areas of opportunity in Colloidal Soft Matter Physics that represent promising perspectives for future investigations.
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