Machine Learning Prediction of Superconducting Critical Temperature with SHapley Additive exPlamations-Based Feature Analysis
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Updated
Nov 6, 2025 - Jupyter Notebook
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high-temperature-superconductors
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Comprehensive computational framework for REBCO HTS coils and plasma physics applications. Features validated 7.07T superconducting magnet designs, Lentz soliton simulation with interferometric detection, high-beta plasma confinement analysis, and multi-physics FEA integration. Open-source Python implementation with interactive Jupyter notebooks.
jupyter-notebook scientific-computing computational-physics finite-element-analysis mybinder plasma-physics fenics multi-physics magnetohydrodynamics comsol-multiphysics fusion-energy warp-field rebco high-temperature-superconductors superconducting-magnets plasma-confinement soliton-physics antimatter-confinement interferometric-detection spacetime-physics
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Jan 29, 2026 - Jupyter Notebook
Open-source Python simulator for YBCO critical temperature (Tc), critical current density (Jc), vortex creep, pinning effects (AM, hybrid BZO, coherent APCs), anisotropy, and space-hardening tweaks. Calibrated to 2025–2026 literature. Developed with AI assistance.
hts materials-science superconductivity condensed-matter-physics computational-materials-science vortex-dynamics high-temperature-superconductors ybco critical-current-density vortex-creep
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Updated
Jan 18, 2026 - Python
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