Computer simulation of thick resistive films as two component percolation systems: Segregation of the conducting component

1985 ◽  
Vol 130 (1-2) ◽  
pp. 1-15 ◽  
Author(s):  
Edward Listkiewicz ◽  
Andrzej Kusy
1993 ◽  
Vol 50 (3) ◽  
pp. 359-367 ◽  
Author(s):  
M. A. Berkovsky

A generalized hydrodynamic model is used to evaluate the frequency spectra of longitudinal and transverse modes in dense strongly coupled two-component plasmas. The results are compared with available computer simulation data.


Geophysics ◽  
1996 ◽  
Vol 61 (1) ◽  
pp. 162-168 ◽  
Author(s):  
A. de Kuijper ◽  
R. K. J. Sandor ◽  
J. P. Hofman ◽  
J. A. de Waal

We present measurements and computer simulation results on the electrical conductivity of nonconducting grains embedded in a conductive brine host. The shapes of the grains ranged from prolate‐ellipsoidal (with an axis ratio of 5:1) through spherical to oblate‐ellipsoidal (with an axis ratio of 1:5). The conductivity was studied as a function of porosity and packing, and Archie’s cementation exponent was found to depend on porosity. We used spatially regular and random configurations with aligned and nonaligned packings. The experimental results agree well with the computer simulation data. This data set will enable extensive tests of models for calculating the anisotropic conductivity of two‐component systems.


1985 ◽  
Vol 37 (2) ◽  
pp. 95-108 ◽  
Author(s):  
W. Eckstein ◽  
J. P. Biersack

2014 ◽  
Vol 15 (4) ◽  
pp. 1159-1166
Author(s):  
Zh. A. Moldabekov ◽  
T. S. Ramazanov

AbstractIn the present work two component dense semiclassical plasma of protons and electrons is considered. Microscopic and electrodynamic properties of the plasma by molecular dynamic simulation are investigated. For these purposes semiclassical interparticle potential which takes into account quantum mechanical diffraction and symmetry effects is used. The considered range of density of plasma is n = 1022cm−3 to n = 1024cm−3. Fluctuations and dynamic dielectric functions were calculated using velocity autocorrelation functions.


Biochemistry ◽  
1984 ◽  
Vol 23 (14) ◽  
pp. 3227-3231 ◽  
Author(s):  
Naeem Jan ◽  
Turab Lookman ◽  
David A. Pink

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