Inverse Design Python Packages

splayout

Silicon Photonics Design Tools for GDSII Files.

torchoptics

Differentiable wave optics simulation library built on PyTorch

difftmm

Differentiable Transfer-Matrix Method thin film solver.

torch-molecule

Deep learning packages for molecular discovery with a simple sklearn-style interface

beamz

GPU-accelerated electromagnetic FDTD simulations for compact modeling and inverse design / gradient-based optimization of nanophotonic devices with Python.

pycharge

Python library for differentiable electrodynamics simulations with jax.

canonical-sets

Exposing Algorithmic Bias with Canonical Sets.

glas

Python module for solving the inverse design of materials

mst-topopt

Topology optimization (TopOpt) framework based on the Maxwell stress tensor (MST) formalism to optimize for optical force-dependent figures of merit.

katmer

katmer is a powerful library for optimizing the design of optical thin films using automatic differentiation via JAX and Equinox, enabling efficient and accurate inverse design solutions.