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

  • P. S. Amon Department of Physics, Benue State University, Makurdi, Nigeria
  • G. J. Ibeh Department of Physics, Nigerian Defence Academy, Kaduna, Nigeria
Keywords: Superconductivity, Ginzburg-Landau theory, Bogoliubov–de Gennes, Vortex dynamics, High-Tc cuprates, Python simulation

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.

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Published
2026-05-24
How to Cite
Amon, P. S., & Ibeh, G. J. (2026). Computational Analysis of Coupled Superconducting Equations: Analytical Approximations, Numerical Simulation, and Time-Dependent Dynamics. GPH-International Journal of Applied Science, 8(01), 97-106. https://doi.org/10.5281/zenodo.20363440