fdtd
fast, large scale photonic simulation platform
GPU-accelerated electromagnetic FDTD for large-scale simulations, compact modeling and inverse design / gradient-based optimization of nanophotonic devices with Python.
An FDFD electromagnetic mode solver for rasterized waveguide cross sections made to be a standard plugin for FDTD engines.
:shrimp: Electromagnetic Simulation + Automatic Differentiation
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
A flexible framework for self-consistent EM-molecular simulations, powered by AI agent skills
Navier-stokes solver for acoustics
Minimalist utilities for photonic FDTD workflows.
Computational Electromagnetics Package with Dielectic, Magnetic, Anisotropic, Lossy Materials and Gravity
A high-performance Python-based FDTD solver for waveguide photonics