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.
project home page of dyGiLa the LFT theory tool of p-wave Ginzburg-Landau model
Supports Information Dynamics framework unifying strong and weak forces. Extraction of information purity p_ID from four particle physics experiments: hyperon decay, reactor neutrino oscillation, X17 resonance, and muon g-2.
World's first 4D & 5D Kakeya datasets. Two independent numerical paths (logarithmic & pure polynomial GL) validate a variational proof framework. A proof-of-concept for Information Dynamics.
Project page of VerHem FEM 18 componnets GL eqns solver project
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