We analyze the experimental data on the motion of active Brownian micrograins in RF discharge plasmas. In the experiments, two types of microparticles were used: first-plastic grains fully covered with metal, and second-Janus particles with a thin metal cap. We have tracked the trajectories of the separate grains and plotted the pair correlation functions of the observed structures. To examine the motion of the grains, we studied the dependencies of the MFPT dynamic entropy on the coarsening parameter, the fractal dimension of the system on its mean kinetic temperature, and the mean localization area of the grain on its mean kinetic temperature. Based on the obtained results, we conclude that the character of motion of our active Brownian systems changes as the power of an illuminating laser (and, therefore, the mean kinetic temperature of the grains) increases. Janus particles change their trajectories from more chaotic to spiral-like ones; in the case of fully covered particles, we observe the dynamical phase transition from the more ordered structure to the less ordered one.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911697PMC
http://dx.doi.org/10.3390/molecules27051614DOI Listing

Publication Analysis

Top Keywords

active brownian
12
kinetic temperature
12
dynamic entropy
8
brownian systems
8
motion active
8
fully covered
8
entropy two-dimensional
4
two-dimensional active
4
systems colloidal
4
colloidal plasmas
4

Similar Publications

Article Synopsis
  • The study focuses on developing a green and effective pesticide formulation using nanoemulsions, including adjuvants like Calcium Alkyl Benzene Sulphonate (Atlox 4838B) and trisiloxane ethoxylate (ARGAL), aimed at targeting the pest Sitophilus oryzae.
  • Results indicate that all formulations achieved nanoscale droplets, with scanning electron microscopy revealing their spherical shapes, while dynamic light scattering showed variations in size based on the presence of adjuvants.
  • The nanoemulsions demonstrated good stability under various conditions, with most formulations having acidic to neutral pH levels, and adjuvants enhanced their stability by altering droplet characteristics and increasing kinetic stability.
View Article and Find Full Text PDF

Using space-filling curves and fractals to reveal spatial and temporal patterns in neuroimaging data.

J Neural Eng

January 2025

Center for Complex Systems and Brain Sciences, Universidad Nacional de San Martin Escuela de Ciencia Y Tecnologia, 25 de Mayo y Francia, San Martín, Buenos Aires, 1650, ARGENTINA.

Objective Magnetic resonance imaging (MRI), functional MRI (fMRI) and other neuroimaging techniques are routinely used in medical diagnosis, cognitive neuroscience or recently in brain decoding. They produce three- or four-dimensional scans reflecting the geometry of brain tissue or activity, which is highly correlated temporally and spatially. While there exist numerous theoretically guided methods for analyzing correlations in one-dimensional data, they often cannot be readily generalized to the multidimensional geometrically embedded setting.

View Article and Find Full Text PDF

Reactive Brownian Dynamics of Chemically Fueled Droplets: Roles of Attraction and Deactivation Modes.

J Phys Chem B

January 2025

Applied Theoretical Physics - Computational Physics, Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, 79104 Freiburg, Germany.

The self-assembly of biological membraneless organelles can be mimicked by active droplets resulting from chemically fueled microphase separation. However, how the nonequilibrium, transient structure of these active droplets can be controlled through the physicochemical input parameters is not yet well understood. In our work, a chemically fueled two-state chemical reaction and subsequent droplet growth and decay are modeled with a reactive Brownian dynamics simulation in two spatial dimensions.

View Article and Find Full Text PDF

A hitchhiker's guide to active motion.

Eur Phys J E Soft Matter

January 2025

Institut für Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universität Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany.

Intelligent decisions in response to external informative input can allow organisms to achieve their biological goals while spending very little of their own resources. In this paper, we develop and study a minimal model for a navigational task, performed by an otherwise completely motorless particle that possesses the ability of hitchhiking in a bath of active Brownian particles (ABPs). Hitchhiking refers to identifying and attaching to suitable surrounding bath particles.

View Article and Find Full Text PDF

The ability of particles to transform absorbed energy into translational movements brings peculiar order into nonequilibrium matter. Connected together into a chain, these particles collectively behave completely differently from well-known equilibrium polymers. Examples of such systems vary from nanoscale to macroscopic objects.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!