Institut de Recerca en Sistemes Complexos (UBICS): Enviaments recents
Ara mostrant els elements 41-60 de 118
Arrested phase separation in chiral fluids of colloidal spinners
We investigate phase separation in a chiral fluid, made of spinning ferromagnetic colloids that interact both via hydrodynamic and dipolar forces and collectively organize into separated circulating clusters. We show that, ...
Nanoparticle anisotropy induces sphere-to-cylinder phase transition in block copolymer melts
Block copolymer nanocomposites including anisotropic nanoparticles have been previously found to co-assemble into complex structures with nanoparticle alignment. Anisotropic nanoparticles with large aspect ratios are found ...
Shape selection and mis-assembly in viral capsid formation by elastic frustration
The successful assembly of a closed protein shell (or capsid) is a key step in the replication of viruses and in the production of artificial viral cages for bio/nanotechnological applications. During self-assembly, the ...
Equivalence between non-Markovian and Markovian dynamics in epidemic spreading processes
A general formalism is introduced to allow the steady state of non-Markovian processes on networks to be reduced to equivalent Markovian processes on the same substrates. The example of an epidemic spreading process is ...
Guided accumulation of active particles by topological design of a second-order skin effect
Collective guidance of out-of-equilibrium systems without using external fields is a challenge of paramount importance in active matter, ranging from bacterial colonies to swarms of self-propelled particles. Designing ...
Correction to: Citizen science for social physics: digital tools and participation (The European Physical Journal Plus, (2024), 139, 7, (572), 10.1140/epjp/s13360-024-05336-3)
Social physics is an active and diverse field in which many scientists with formal training in physics study a broad class of complex social phenomena. Social physics investigates societal problems but most often does not ...
Integrated information decomposition unveils major structural traits of in silico and in vitro neuronal networks
The properties of complex networked systems arise from the interplay between the dynamics of their elements and the underlying topology. Thus, to understand their behavior, it is crucial to convene as much information ...
Wiring the Past: A Network Science Perspective on the Challenge of Archeological Similarity Networks
Nowadays, it is a common knowledge that scholars from different disciplines, regardless of the specificities of their research domains, can find in network science a valuable ally when tackling complexity. However, there ...
Phase separation of self-propelled disks with ferromagnetic and nematic alignment
We present a comprehensive study of a model system of repulsive self-propelled disks in two dimensions with ferromagnetic and nematic velocity alignment interactions. We characterize the phase behavior of the system as a ...
Signatures of criticality in turning avalanches of schooling fish
Moving animal groups transmit information through propagating waves or behavioral cascades, exhibiting characteristics akin to systems near a critical point from statistical physics. Using data from freely swimming schooling ...
Laning, thinning and thickening of sheared colloids in a two-dimensional Taylor-Couette geometry
We investigate the dynamics and rheological properties of a circular colloidal cluster that is continuously sheared by magnetic and optical torques in a two-dimensional (2D) Taylor-Couette geometry. By varying the two ...
Thermally active nanoparticle clusters enslaved by engineered domain wall traps
The stable assembly of fluctuating nanoparticle clusters on a surface represents a technological challenge of widespread interest for both fundamental and applied research. Here we demonstrate a technique to stably confine ...
Aggregation of discoidal particles due to depletion interaction
Depletion interactions between colloids of discoidal shape can induce their self-assembly into columnar aggregates. This is an effect of entropic origin with important implications in a range of colloidal systems, particularly ...
Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
Human mobility is becoming an accessible field of study, thanks to the progress and availability of tracking technologies as a common feature of smart phones. We describe an example of a scalable experiment exploiting these ...
Active nematic flows confined in a two dimensional channel with hybrid alignment at the walls: A unified picture
Active nematic fluids confined in narrow channels are known to generate spontaneous flows when the activity is sufficiently intense. Recently, it was demonstrated [R. Green, J. Toner, and V. Vitelli, Phys. Rev. Fluids 2, ...
Clustering of topological defects in two-dimensional melting of active and passive disks
We provide a comprehensive quantitative analysis of localized and extended topological defects in the steady state of 2D passive and active repulsive Brownian disk systems. We show that, both in and out-of-equilibrium, the ...
First Order Alignment Transition in an Interfaced Active Nematic
We investigate experimentally the dynamic phase transition of a two-dimensional active nematic layer interfaced with a passive liquid crystal. Under a temperature ramp that leads to the transition of the passive liquid ...
Metabolic plasticity in synthetic lethal mutants: viability at higher cost
The most frequent form of pairwise synthetic lethality (SL) in metabolic networks is known as plasticity synthetic lethality. It occurs when the simultaneous inhibition of paired functional and silent metabolic reactions ...
Geometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacks
We show that real multiplex networks are unexpectedly robust against targeted attacks on high-degree nodes and that hidden interlayer geometric correlations predict this robustness. Without geometric correlations, multiplexes ...
Multiscale unfolding of real networks by geometric renormalization
Symmetries in physical theories denote invariance under some transformation, such as self-similarity under a change of scale. The renormalization group provides a powerful framework to study these symmetries, leading to a ...
