🦐 Electromagnetic Simulation + Automatic Differentiation

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

A suite of photonic inverse design challenge problems for topology optimization benchmarking

Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics

2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

Simple python library for calculating the modes of electromagnetic waveguides using finite difference frequency domain method.

3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics

2D and 3D scalar finite-difference frequency-domain solver of the scattering matrix with the recursive Green's function method.

FDFD solver for Helmholtz equation in 2D written in julia

Simulation and Optimization Library for Integrated Optics in Julia.

Curated list of inverse design projects for photonics. Including FDTD and FDFD solvers, tutorials, challenges, as well as key papers and reviews. 🚀

FDFD Solver for Julia

An implementation of a stress-tensor based FDFD method for computing Casimir forces

fdf

RFDFWI (Python) 2-D Frequency-Domain Finite-Difference (FDFD) forward modelling and Full-Waveform Inversion (FWI) for Ground-Penetrating Radar (GPR) — Python port of the MATLAB RFDFWI toolbox (Layek & Sengupta 2024).

MATLAB-based solver package of Maxwell's equations by the FDFD method.

🛠 Curate and explore top tools and resources for inverse design of photonic devices, aiding engineers and physicists in advanced simulation and optimization.