🦐 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
Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics
A suite of photonic inverse design challenge problems for topology optimization benchmarking
Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics
Simple python library for calculating the modes of electromagnetic waveguides using finite difference frequency domain method.
2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
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.
FDFD Solver for Julia
An implementation of a stress-tensor based FDFD method for computing Casimir forces
Simulation and Optimization Library for Integrated Optics in Julia.
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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