CNN computing of double sine-gordon equation with physical applications
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Contributors
Abstract
In this paper we study Cellular Nonlinear Network (CNN) computing of double Sine-Gordon equation (SG). SG arises in studying fluxons in Josephson junctions and it has fluxon and antifluxon solutions. We study double SG equation with physical applications. Analysis of the solutions of these types of SG is presented by means of classical physical theory. We construct CNN architecture for the two types of equations. Simulations of the interactions of fluxons, kinks and breathons are provided.
Details
Original language | English |
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Pages (from-to) | 21-28 |
Number of pages | 8 |
Journal | Comptes Rendus de L'Academie Bulgare des Sciences |
Volume | 67 |
Issue number | 1 |
Publication status | Published - 2014 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- Breathons, Cellular nonlinear networks, Double Sine-Gordon equation, Fluxons, Interaction, Josephson junction