🦐 Electromagnetic Simulation + Automatic Differentiation
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Updated
Jul 6, 2023 - Python
🦐 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.
Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics
3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
FDFD solver for Helmholtz equation in 2D written in julia
2D and 3D scalar finite-difference frequency-domain solver of the scattering matrix with the recursive Green's function method.
Simulation and Optimization Library for Integrated Optics in Julia.
FDFD Solver for Julia
An implementation of a stress-tensor based FDFD method for computing Casimir forces
3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
MATLAB-based solver package of Maxwell's equations by the FDFD method.
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