Institut de Recerca en Sistemes Complexos (UBICS): Enviaments recents
Ara mostrant els elements 81-100 de 118
Reservoir computing in simulated neuronal cultures: Effectof network structure
Biological neurons are emerging as attractive candidates for artificial intelligence and machine learning applications given their natural energy efficiency and self-repair capacity. However, they differ from their idealized ...
Impact of Physical Obstacles on the Structural and Effective Connectivity of in silico Neuronal Circuits
Scaffolds and patterned substrates are among the most successful strategies to dictate the connectivity between neurons in culture. Here, we used numerical simulations to investigate the capacity of physical obstacles ...
Citizen science for social physics: digital tools and participation
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 ...
Role of Time Scales in the Coupled Epidemic-Opinion Dynamics on Multiplex Networks
Modelling the epidemic's spread on multiplex networks, considering complex human behaviours, has recently gained the attention of many scientists. In this work, we study the interplay between epidemic spreading and opinion ...
Non-spherical nanoparticles in block copolymer composites: nanosquares, nanorods and diamond
A hybrid two-dimensional block copolymer (BCP) nanocomposite computational model is proposed to study nanoparticles (NPs) with a generalized shape including square, rectangle, and rhombus. Simulations are used to study the ...
Neuronal Cultures: Exploring Biophysics, Complex Systems, and Medicine in a Dish
Neuronal cultures are one of the most important experimental models in modern interdisciplinary neuroscience, allowing to investigate in a control environment the emergence of complex behavior from an ensemble of interconnected ...
Navigable maps of structural brain networks across species
Connectomes are spatially embedded networks whose architecture has been shaped by physical constraints and communication needs throughout evolution. Using a decentralized navigation protocol, we investigate the relationship ...
Dynamics and interactions of magnetically driven colloidal microrotors
We study the pair interactions between magnetically driven colloidal microrotors with an anisotropic shape. An external precessing magnetic field induces a torque to these particles spinning them at a fixed angular frequency. ...
Nematic ordering of anisotropic nanoparticles in block copolymers
Block copolymer melts have been previously used to control the position and alignment of anisotropic nanoparticles. In this work, 2D and 3D mesoscopic simulations are used to explore the phase behavior of block ...
Anomalous diffusion under stochastic resettings: a general approach
We present a general formulation of the resetting problem which is valid for any distribution of resetting intervals and arbitrary underlying processes. We show that in such a general case, a stationary distribution may ...
Large-scale citizen science provides high-resolution nitrogen dioxide values and health impact while enhancing community knowledge and collective action
We present outcomes from a large-scale air quality citizen science campaign (xAire, 725 measurements) to demonstrate its positive contribution in the interplay between advances in exposure assessment and developments in ...
Degeneracy and hysteresis in a bidisperse colloidal ice
We use numerical simulations to investigate the low-energy states of a bidisperse colloidal ice, realized by confining two types of magnetic particles into double wells of different lengths. For this system, theoretical ...
Functionability in complex networks: Leading nodes for the transition from structural to functional networks through remote asynchronization
Complex networks are essentially heterogeneous not only in the basic properties of the constituent nodes, such as their degree, but also in the effects that these have on the global dynamical properties of the network. ...
Propulsion and hydrodynamic particle transport of magnetically twisted colloidal ribbons
We describe a method to trap, transport and release microscopic particles in a viscous fluid using the hydrodynamic flow field generated by a magnetically propelled colloidal ribbon. The ribbon is composed of ferromagnetic ...
The long cross-over dynamics of capillary imbibition
Spontaneous capillary imbibition is a classical problem in interfacial fluid dynamics with a broad range of applications, from microfluidics to agriculture. Here we study the duration of the cross-over between an initial ...
Collective hydrodynamic transport of magnetic microrollers
We investigate the collective transport properties of microscopic magnetic rollers that propel close to a surface due to a circularly polarized, rotating magnetic field. The applied field exerts a torque to the particles, ...
Enhancement of the Elastocaloric Performance of Natural Rubber by Forced Air Convection
We study the enhancement of the elastocaloric effect in natural rubber by using forced air convection to favour heat extraction during the elongation stage of a stretching–unstretching cycle. Elastocaloric performance is ...
Single-file dynamics of colloids in circular channels: Time scales, scaling laws and their universality
In colloidal systems, Brownian motion emerges from the massive separation of time and length scales associated with characteristic dynamics of the solute and solvent constituents. This separation of scales produces several ...
Large scale three dimensional simulations of hybrid block-copolymer/nanoparticle systems
Block copolymer melts self-assemble in the bulk into a variety of nanostructures, making them perfect candidates to template the position of nanoparticles. The morphological changes of block copolymers are studied in the ...
Collective motion of run-and-tumble repulsive and attractive particles in one-dimensional systems
Active matter deals with systems whose particles consume energy at the individual level in order to move. To unravel features such as the emergence of collective structures, several models have been suggested, such as the ...
