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Numerical Simulation of the Stiff System of Equations Within the Spintronic Model

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Numerical Methods and Applications (NMA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11189))

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Abstract

We consider a stiff system of ordinary differential equations within a spintronic model of the superconductor-ferromagnetic/superconductor Josephson junction (SFS JJ). For some values of parameters, the explicit algorithms failed for numerical solution of this system and special numerical approaches like the implicit two-stage Gauss-Legendre method are required. In our study, we use both explicit and implicit numerical schemes which have been implemented in the respective interactive software on the basis of Wolfram Mathematica technique. In this software, we employ the 4-step explicit Runge-Kutta algorithm and the two-stage Gauss–Legendre method of the 4th accuracy order (also known as the implicit Runge-Kutta scheme), combined with the fixed point method. We analyze the effectiveness of two numerical approaches and demonstrate an advantage of implicit method over the explicit scheme. Results of numerical simulation of superconducting processes in the SFS JJ depending on parameters are presented.

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Acknowledgement

The work is supported by project FP17-FMI-008, Bulgaria, by the JINR–Bulgaria cooperation program, by the grant of AYSS of JINR with the project 18-302-08 and by the Russian Foundation for Basic Research (projects 18-52-45011\(\_\)Ind, 17-01-00661, 18-02-00318).

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Correspondence to Stefani A. Panayotova .

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Atanasova, P.K., Panayotova, S.A., Zemlyanaya, E.V., Shukrinov, Y.M., Rahmonov, I.R. (2019). Numerical Simulation of the Stiff System of Equations Within the Spintronic Model. In: Nikolov, G., Kolkovska, N., Georgiev, K. (eds) Numerical Methods and Applications. NMA 2018. Lecture Notes in Computer Science(), vol 11189. Springer, Cham. https://doi.org/10.1007/978-3-030-10692-8_33

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  • DOI: https://doi.org/10.1007/978-3-030-10692-8_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-10691-1

  • Online ISBN: 978-3-030-10692-8

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