harihardiyan/tdgl-gl-benchmark: TDGL Ginzburg–Landau Benchmark Suite v0.1.0

🧪 TDGL Ginzburg–Landau Benchmark Suite v0.1.0 Initial public release of the TDGL benchmark suite for 2D superconductors using JAX. 🔬 Core Features Modular TDGL solver with gauge-invariant link variables PyTree-based State and Params for clean JAX integration μ-Poisson solver (SOR) for gauge fixing JIT-accelerated time stepping 📊 Observables Vortex detection via phase winding Radial profile extraction and ξ fitting Energy, vortex count, density variance H-scan and phase diagram tools 📓 Included Notebooks 01_single_vortex.ipynb — Single vortex benchmark 02_multi_vortex_64.ipynb — Multi-vortex (64×64) 03_multi_vortex_128.ipynb — Multi-vortex (128×128) 04_H_scan.ipynb — H-scan observables 05_phase_diagram_HT.ipynb — Phase diagram (H vs T) 06_vortex_drift_diode.ipynb — Vortex drift & diode effect 07_inverse_design_B0.ipynb — Differentiable inverse design 📦 Packaging setup.py and pyproject.toml included Compatible with Python ≥3.9 GPU/TPU-ready via JAX For full documentation and Colab links, visit the README.