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ginzburg-landau

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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.

  • Updated Oct 27, 2025
  • Python

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.

  • Updated Dec 21, 2025
  • C++

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

  • Updated Jan 19, 2026
  • Jupyter Notebook

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