2D time-dependent Ginzburg-Landau in Python
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Updated
Feb 28, 2026 - Python
2D time-dependent Ginzburg-Landau in Python
PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl
Svirl is GPU-accelerated solver of complex Ginzburg-Landau equations for superconductivity. It consists of time-dependent solver to describe vortex dynamics and free energy minimizer to accurately find static configurations.
SuperDetectorPy is a program for simulating superconducting single-photon detectors.
Spectral Solver for the Ginzburg-Landau equation
Implementation of gauged string method for the calculation of minimum energy path of vortex nucleation in superconductors within Ginzburg-Landau theory.
Multi-Architecture Coupled Ensemble Physics-Informed Neural Networks (MACE-PINN) for solving coupled partial differential equations. Implements parallel subnetworks with Fourier embeddings and adaptive loss weighting for Gray-Scott and Ginzburg-Landau reaction-diffusion systems.
Repository of dyGiLa project
Eckhaus selection: The mechanism of pattern persistence in reaction-diffusion systems
Github repository of VerHem project source tree. A tensor-valued (up to 18 components) solving, post-processing and visualization parallel suite for 3D GL equations and complex geometries with adaptive mesh.
TDGL Ginzburg–Landau Benchmark Suite (JAX)Time‑dependent Ginzburg–Landau (TDGL) simulations for 2D superconductors, implemented in JAX and designed as a modular scientific platform.Includes single‑vortex benchmarks with analytic GL fits, multi‑vortex states, μ‑Poisson gauge fixing, gauge‑invariant link‑variable gradients, full GL energy functional
project home page of dyGiLa the LFT theory tool of p-wave Ginzburg-Landau model
Project page of VerHem FEM 18 componnets GL eqns solver project
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