yonghakim

S4

Stanford Stratified Structure Solver - Electromagnetic simulator for layered periodic structures

NeurOLight

A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022

neurop_invdes

Neural operator surrogates for electromagnetic inverse design

varRCWA

varRCWA algorithm implementation with GPU support

fmmax

Fourier modal method with Jax

inkstone

Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity, such as gratings, photonic-crystal slabs, metasurfaces, surface-emitting lasers, nano-antennas, and more.

emepy

IES

A package includes various time-domain numerical solvers for the Maxwell's equations.

SimpleDreamer

A Simplified Pytorch Version of the Dreamer Algorithm

DMFF

DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable implementation of molecular force field models.

rcwa

Rigorous Coupled Wave Analysis for the calculation of Photonic Crystal R/T spectra

DFlat-tensorflow

(Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.

fdtd

A 3D electromagnetic FDTD simulator written in Python with optional GPU support

Physics-Informed-Reinforcement-Learning

Source code for the paper "Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning"

jax-md

Differentiable, Hardware Accelerated, Molecular Dynamics

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

torcwa

GPU-accelerated RCWA with automatic differentiation

optax

Optax is a gradient processing and optimization library for JAX.

deflector-gym

PyLlama

PyLlama enables to calculate the reflection and transmission spectra of an arbitrary multilayer stack whose layers are made of dispersive or non-dispersive, absorbing or non absorbing, isotropic or anisotropic materials. The documentation and a few tutorials are available here: https://pyllama.readthedocs.io/en/latest/

rcwa_tf

RCWA with inherent automatic differentiation using TensorFlow

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

meent

Electromagnetic simulation (RCWA) & optimization package in Python

cupy

NumPy & SciPy for GPU

autograd

Efficiently computes derivatives of numpy code.

uvloop

Ultra fast asyncio event loop.

Rigorous-Coupled-Wave-Analysis

modules for semi-analytic fourier series solutions for Maxwell's equations. Includes transfer-matrix-method, plane-wave-expansion-method, and rigorous coupled wave analysis (RCWA).

meep

free finite-difference time-domain (FDTD) software for electromagnetic simulations

nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

grcwa

Python implementation of rigorous coupled wave analysis, autograd supported for optimization purpose