Electromagnetic S-matrix computation for periodic arrays of cylinders — differentiable JAX version
Project description
CyScat — Python / JAX
Electromagnetic scattering matrix computation for periodic arrays of cylinders, with full JAX automatic differentiation support.
Translated from MATLAB (Curtis Jin, Prof. Raj Rao Nadakuditi, Prof. Eric Michielssen, University of Michigan).
What this version provides
- Exact AD w.r.t. positions, wavelength, refractive index, and radius via
jax.grad/jax.jvp - All examples use
Scattering_Code.jax.smatrix— the fully differentiable pipeline - Cross-validation notebook comparing JAX AD against Julia ForwardDiff
Setup
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Examples
Open any notebook under CyScat/examples/:
cd CyScat
jupyter notebook examples/generate_s_matrix_1layer_pec/generate_s_matrix_1layer_pec.ipynb
jupyter notebook examples/differentiable_s_matrix_demo/differentiable_s_matrix_demo.ipynb
jupyter notebook examples/optimize_refractive_index_and_radius/optimize_refractive_index_and_radius.ipynb
jupyter notebook examples/compare_julia_python_derivatives/compare_julia_python_derivatives.ipynb
See CyScat/README.md for full documentation.
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