10 results on '"Yuri Tarasevich"'
Search Results
2. Surface Tension Measurements with the Drop Profile Analysis Tensiometry—Consideration of the Surfactant Mass Balance in a Single Drop
- Author
-
Talmira Kairaliyeva, Nenad Mucic, Ljiljana Spasojevic, Sandra Bucko, Jaroslav Katona, Eugene Aksenenko, Saule Aidarova, Valentin Fainerman, Alexander Makievski, Yuri Tarasevich, and Reinhard Miller
- Subjects
surfactant adsorption ,bubble and drop profile analysis tensiometry ,surfactant depletion due to adsorption ,model calculations ,Chemistry ,QD1-999 - Abstract
In drop profile analysis tensiometry, the ratio of drop surfaces area S to volume V is large, i.e., S/V >> 1. In such a case, the concentration of a surfactant within the drop bulk decreases due to adsorption at the drop surface. In contrast, in bubble profile analysis tensiometry, we have S/V << 1 so that depletion due to adsorption is negligible. A protocol is presented to determine the correct adsorption parameters of surfactants from surface tension data measured by bubble and drop profile analysis tensiometry. The procedure is applied to experimental data measured for selected surfactants of different adsorption activities: C10OH, CTAB, Tween 20, and the equimolar mixture SDS + DoTAB. The results show that for surfactants with higher surface activity, the differences between the surface tensions measured with the drops and bubbles profile analysis tensiometry, respectively, are larger, while for less surface-active surfactants, such as SDS, the results obtained from drop and bubble profile experiments are very close. The correction procedure is based on the same set of adsorption parameters used to fit both the experimental data obtained from drop-based measurements (which involve the depletion effects) and those data measured in a way that depletion effects are negligible.
- Published
- 2017
- Full Text
- View/download PDF
3. Random 2D nanowire networks: Finite-size effect and the effect of busbar/nanowire contact resistance on their electrical conductivity
- Author
-
Irina Vodolazskaya, Andrei Eserkepov, and Yuri Tarasevich
- Subjects
Statistical Mechanics (cond-mat.stat-mech) ,FOS: Physical sciences ,General Physics and Astronomy ,Condensed Matter - Statistical Mechanics - Abstract
We have studied the resistance of two-dimensional random percolating networks of zero-width metallic nanowires (rings or sticks). We toke into account the nanowire resistance per unit length, the junction (nanowire/nanowire contact) resistance, and the busbar/nanowire contact resistance. Using a mean-field approximation (MFA), we derived the total resistance of the nanoring-based networks as a function of their geometrical and physical parameters. We have proposed a way of accounting for the contribution of the busbar/nanowire contact resistance toward the network resistance. The MFA predictions have been confirmed by our Monte Carlo (MC) numerical simulations. Our study evidenced that the busbar/nanowire contact resistance has a significant effect on the electrical conductivity when the junction resistance dominates over wire resistance., 10 pages, 11 figures, 1 table, 33 references
- Published
- 2022
4. Invariant percolation properties in random isotropic systems of conductive discorectangles on a plane: From disks to sticks
- Author
-
Andrei Eserkepov and Yuri Tarasevich
- Subjects
Statistical Mechanics (cond-mat.stat-mech) ,FOS: Physical sciences ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter Physics ,Condensed Matter - Statistical Mechanics ,Electronic, Optical and Magnetic Materials - Abstract
Recently, some eccentricity-invariant properties of random, isotropic, two-dimensional (2D) systems of conductive ellipses have been reported [Phys. Rev. B \bf{104}, 184205 (2021)]. Moreover, the authors suggested that this invariance might also be observed in systems with other particle geometries having zero-width sticks as the limiting case. To check this suggestion, we studied 2D random systems of isotropically-placed, overlapping, identical discorectangles (stadia) with aspect ratios ranging from 1 (disks) to $\infty$ (zero-width sticks). We analyzed the effect of the aspect ratio and the number density of conductive discorectangles on the behavior of the electrical conductivity, the local conductivity exponent, and the current-carrying backbone. Our own computer simulations demonstrate that some of the properties of random, isotropic 2D systems of conductive discorectangles are insensitive to the aspect ratios of the particles., 8 pages, 13 figures, 32 references
- Published
- 2022
5. Exact percolation probabilities for a square lattice: Site percolation on a plane, cylinder, and torus
- Author
-
Renat Akhunzhanov, Andrei Eserkepov, and Yuri Tarasevich
- Subjects
Statistics and Probability ,Statistical Mechanics (cond-mat.stat-mech) ,Computer Science::Information Retrieval ,Modeling and Simulation ,FOS: Physical sciences ,General Physics and Astronomy ,Statistical and Nonlinear Physics ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Condensed Matter - Disordered Systems and Neural Networks ,Mathematical Physics ,Condensed Matter - Statistical Mechanics - Abstract
We have found analytical expressions (polynomials) of the percolation probability for site percolation on a square lattice of size $L \times L$ sites when considering a plane (the crossing probability in a given direction), a cylinder (spanning probability), and a torus (wrapping probability along one direction). Since some polynomials are extremely cumbersome, they are presented as separate files in Supplemental material. The system sizes for which this was feasible varied up to $L=17$ for a plane, up to $L=16$ for a cylinder, and up to $L=12$ for a torus. To obtain a percolation probability polynomial, all possible combinations of occupied and empty sites have to be taken into account. However, using dynamic programming along with some ideas related to the topology, we offer an algorithm which allows a significant reduction in the number of configurations requiring consideration. A rigorous formal description of the algorithm is presented. Divisibility properties of the polynomials have been rigorously proved. Reliability of the polynomials obtained have been confirmed by the divisibility tests. The wrapping probability polynomials on a torus provide a better estimate of the percolation threshold than that from the spanning probability polynomials. Surprisingly, even a naive finite size scaling analysis allows an estimate to be obtained of the percolation threshold $p_c = 0.59269$., 18 pages, 39 references, 8 figures, 2 tables, supplement, accepted manuscript in J. Phys. A: Fine Latticework: Celebrating the Craftsmanship of Robert M. Ziff in Honour of his 70th Birthday https://iopscience.iop.org/journal/1751-8121/page/fine-latticework
- Published
- 2022
6. Electrical conductivity of random metallic nanowire networks: An analytical consideration along with computer simulation
- Author
-
Irina Vodolazskaya, Andrei Eserkepov, and Yuri Tarasevich
- Subjects
Statistical Mechanics (cond-mat.stat-mech) ,General Physics and Astronomy ,FOS: Physical sciences ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Physical and Theoretical Chemistry ,Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter - Statistical Mechanics - Abstract
We have proposed an analytical model for the electrical conductivity in random, metallic, nanowire networks. We have mimicked such random nanowire networks as random resistor networks (RRN) produced by the homogeneous, isotropic, and random deposition of conductive zero-width sticks onto an insulating substrate. We studied the electrical conductivity of these RRNs using a mean-field approximation. An analytical dependency of the electrical conductivity on the main physical parameters (the number density and electrical resistances of these wires and of the junctions between them) has been derived. Computer simulations have been performed to validate our theoretical predictions. We computed the electrical conductivity of the RRNs against the number density of the conductive fillers for the junction-resistance-dominated case and for the case where the wire resistance and the junction resistance were equal. The results of the computations were compared with this mean-field approximation. Our computations demonstrated that our analytical expression correctly predicts the electrical conductivity across a wide range of number densities., 7 pages, 9 figures, 59 references
- Published
- 2022
7. Electrical conductivity of nanorod-based transparent electrodes: Comparison of mean-field approaches
- Author
-
Irina Vodolazskaya, Andrei Eserkepov, and Yuri Tarasevich
- Subjects
FOS: Physical sciences ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Condensed Matter - Disordered Systems and Neural Networks - Abstract
We mimic nanorod-based transparent electrodes as random resistor networks (RRN) produced by the homogeneous, isotropic, and random deposition of conductive zero-width sticks onto an insulating substrate. We suppose that the number density (the number of objects per unit area of the surface) of these sticks exceeds the percolation threshold, i.e., the system under consideration is a conductor. We computed the electrical conductivity of random resistor networks vs the number density of conductive fillers for the wire-resistance-dominated case, for the junction-resistance-dominated case, and for an intermediate case. We also offer a consistent continuous variant of the mean-field approach. The results of the RRN computations were compared with this mean-field approach. Our computations suggest that, for a qualitative description of the behavior of the electrical conductivity in relation to the number density of conductive wires, the mean-field approximation can be successfully applied when the number density of the fillers $n > 2n_c$, where $n_c$ is the percolation threshold. However, note the mean-field approach slightly overestimates the electrical conductivity. We demonstrate that this overestimate is caused by the junction potential distribution., 10 pages, 9 figures, 52 references, extended and revised version of the invited talk presented during 34th Marian Smoluchowski Symposium on Statistical Physics http://www.smoluchowski.if.uj.edu.pl/
- Published
- 2021
8. Relaxation of saturated random sequential adsorption packings of discorectangles aligned on a line
- Author
-
Yuri Tarasevich, Nikolai Vygornitskii, Mykhailo Tatochenko, and Lebovka Nikolai
- Subjects
Statistical Mechanics (cond-mat.stat-mech) ,FOS: Physical sciences ,Condensed Matter - Statistical Mechanics - Abstract
Relaxation of the packing of elongated particles (discorectangles) aligned on a line was studied numerically. The aspect ratio (length-to-width ratio) for the discorectangles was varied within the range $\varepsilon \in [1;50]$. The initial jamming (saturated) state was produced using the basic variant of the random sequential adsorption (RSA) model with random positions and orientations of particles. The relaxation was performed by allowing rotational and translational diffusion motions of the particles wile their centers remained located on the line. The effects of the aspect ratio $\varepsilon$ on the kinetics of relaxation, the orientation order parameter and the distribution function of the distances between nearest-neighbor discorectangles were analyzed. The transport properties of the resulting 1D systems were also analyzed by using the diffusion of a tracer particle (random walker) between the nearest-neighbor discorectangles. In the relaxed states the anomalous diffusion was observed having a hopping exponent $d_w>2$ dependent upon $\varepsilon$., 7 pages, 8 figures, 35 references (refs were corrected in v.2)
- Published
- 2021
9. CRIMINOLOGICAL MONITORING AND ITS FEATURES
- Author
-
Yuri Tarasevich
- Published
- 2020
- Full Text
- View/download PDF
10. Electrical conductivity of nanoring-based transparent conductive films: A mean-field approach
- Author
-
Irina Vodolazskaya, Andrei Eserkepov, and Yuri Tarasevich
- Subjects
Statistical Mechanics (cond-mat.stat-mech) ,General Physics and Astronomy ,FOS: Physical sciences ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter - Statistical Mechanics - Abstract
We have studied the electrical conductivity of nanoring-based, transparent conductive films, these being promising elements for flexible electronic devices. Both the wire resistance and the junction resistance were taken into account. We have calculated the dependency of the electrical conductivity on the number density of the rings. We have proposed a mean-field approach to estimate the dependency of the electrical conductivity on the main parameters. Comparison of direct computations of the electrical conductivity and the estimates provided by the mean-field approach evidenced the applicability of this approach for those cases where the wire resistance dominates over the junction resistance and where both resistances are of the same order. For these two cases, both the direct computations and the mean-field approach evidenced a linear dependence of the electrical conductivity of the films on the number density of the conductive rings. By contrast, the dependence of the electrical conductivity on the number density of the conductive rings is a quadratic when the junction resistance dominates over the wire resistance. In this case, the mean-field approach significantly overestimates the electrical conductivity, since the main assumptions underlying this approach are no longer fulfilled., Comment: 6 pages, 8 figures, 34 references
- Published
- 2021
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.