Modeling and simulation of transmembrane ionic transport of cells exposed to magnetic field using the Monte Carlo method

Author(s):  
M.C. Barrero-Moreno ◽  
E. Restrepo-Parra ◽  
J. Torres-Osorio

This work presents a model for the simulation of plasmatic transmembrane ionic transport that may be exposed to a static gradient magnetic field. The simulation was carried out using the Monte Carlo method to simulate the transmembrane cell transport of five types of ions and obtain observables such as membrane potential, ionic current, and osmotic pressure. To implement the Monte Carlo method, a Hamiltonian was used that includes the contributions of the energy due to the cellular electric field, the electrostatic interaction between the ions, the friction force generated by moving the ion in the center and the contribution given by subduing a cell to a magnetic field gradient. The input parameters to carry out a simulation are the intra and extracellular concentrations of each ionic species, the length of the extracellular medium, the number of Monte Carlo steps (MCS) and the value of the magnetic gradient. The model was validated contrasting it with Gillespie’s algorithm to obtain variations less than 3 % in terms of membrane potential. The Monte Carlo Method combined with the Metropolis algorithm were considered for recreating the stochastic behavior of ion movement.

2020 ◽  
Vol 62 (6) ◽  
pp. 846
Author(s):  
Т.А. Тааев ◽  
К.Ш. Хизриев ◽  
А.К. Муртазаев

Investigation of the magnetization reversal of a hard/soft magnetic bilayer in an external magnetic field was performed by the Monte Carlo method. The magnetization reversal curves of the magnetic bilayer are plotted for various values of the thickness of the soft magnetic layer. Also the effect of the intralayer exchange interaction and the anisotropy constant on the magnetization reversal processes was studied. The phase diagrams of the magnetic bilayer are plotted.


2020 ◽  
Vol 62 (5) ◽  
pp. 661
Author(s):  
А.Н. Мороз ◽  
А.Н. Максимова ◽  
В.А. Кашурников ◽  
И.А. Руднев

By using the Monte Carlo method, numerical modeling of the vortex system of a Bi-2212 superconductor in a ramping external magnetic field has been carried out for different ramp-rates. The influence of concentration and distribution of pinning centers on the magnetic flux penetration has been studied. Features of flux penetration have been observed and described in terms of the vortex system dynamics, the conditions for their occurrence have been determined. Ascending dependences of the saturation field on defect concentration have been obtained for homogeneous and inhomogeneous samples.


2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.


Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.


2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.


1999 ◽  
Vol 72 (1) ◽  
pp. 68-72
Author(s):  
M. Yu. Al’es ◽  
A. I. Varnavskii ◽  
S. P. Kopysov

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