Stars
free finite-difference time-domain (FDTD) software for electromagnetic simulations
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
🌱 Guided-mode expansion of photonic crystal slabs
📐 Workshop material for optical inverse design and automatic differentiation
🦐 Electromagnetic Simulation + Automatic Differentiation
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)
MIT Photonic-Bands: computation of photonic band structures in periodic media
Efficiently computes derivatives of NumPy code.
Flexible simulation package for optical neural networks
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