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.
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http://dx.doi.org/10.3390/molecules27051614 | DOI Listing |
Sci Rep
January 2025
Pesticide Formulation Research Department, Central Agriculture Pesticides Laboratory, Agricultural Research Center, Alexandria, Egypt.
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 PDFJ 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 PDFEur 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 PDFPhys Chem Chem Phys
December 2024
Semenov Federal Research Center for Chemical Physics, Kosygina, 4, 119991 Moscow, Russia.
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.
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