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Numerical Study of Josephson Nanostructures Using Parallel Computing

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Submitted: 2026-07-21
CC BY-NC 4.0 This work is licensed under Creative Commons Attribution–NonCommercial International License (CC BY-NC 4.0).

Abstract

We investigate the phase dynamics of the stack of long JJs, the length of which exceeds the Josephson penetration depth λJ , taking into account the inductive and capacitive couplings between junctions and diffusion current. Numerical simulation of current-voltage characteristics of the stack is based on numerical solution of a system of nonlinear partial differential equations by the fourth order Runge-Kutta method and finite-difference approximation. The calculations are performed using the MPI technique for parallel implementation. The methodical calculations on multi-processor cluster (LIT JINR) with a different number of parallel MPI-processes are carried out. We have shown that the developed parallel algorithm provides about 7 time acceleration in comparison with serial simulation.

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