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Computational Analysis of Coupled Superconducting Equations: Analytical Approximations, Numerical Simulation, and Time-Dependent Dynamics

Article scientifique 2026 Anglais

Résumé

Abstract Superconductivity happens when some materials lose all electrical resistance and push out magnetic fields at very low temperatures. Scientists describe it using complex equations like the Ginzburg-Landau (GL) equations and the Bogoliubov–de Gennes (BdG) equations. This paper explains these ideas in simple terms. It shows easy analytical solutions for simple cases, clear Python computer codes to solve the equations numerically, time-dependent behavior (how things change over time), and what makes high-temperature “cuprate” superconductors special. We include high-resolution plots and 3D views made directly from the codes. The results match well-known theory and experiments. Keywords: Superconductivity, Ginzburg-Landau theory, Bogoliubov–de Gennes, Vortex dynamics, High-Tc cuprates, Python simulation

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Amon, P., Ibeh, G. (2026). Computational Analysis of Coupled Superconducting Equations: Analytical Approximations, Numerical Simulation, and Time-Dependent Dynamics. https://doi.org/10.5281/zenodo.20363440

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