FDTDX

Spec sheet

Purpose

FDTDX is an open-source Python package for simulating and designing three-dimensional photonic nanostructures with the Finite-Difference Time-Domain method.Read 4 Oct 2026 · fdtdx.readthedocs.io

Intended users

The project describes FDTDX as freely usable for research, development, and commercial work involving photonic nanostructures.Read 4 Oct 2026 · fdtdx.readthedocs.io

Audience

The project presents FDTDX for research, development, and commercial use in photonic nanostructure simulation and design.Read 3 Oct 2026 · fdtdx.readthedocs.io

Free plan

YesRead 23 Sep 2026 · fdtdx.readthedocs.io

API

Objects can be positioned and sized using absolute or relative coordinates.Read 4 Oct 2026 · fdtdx.readthedocs.io

Integrations

The API includes functions for importing GDS polygons and working with GDS layer stacks and ports.Read 3 Oct 2026 · fdtdx.readthedocs.io

Security

The repository page lists a Security and quality section but does not state a security certification or compliance standard.Read 3 Oct 2026 · github.com

Support

The FAQ invites users to open GitHub discussions for unanswered questions and issues for suspected bugs, and says the maintainers regularly check discussions.Read 4 Oct 2026 · fdtdx.readthedocs.io

3D visuals

YesRead 23 Sep 2026 · fdtdx.readthedocs.io

Accelerators

The project recommends JAX GPU acceleration packages for NVIDIA GPUs, AMD GPUs, and TPUs.Read 3 Oct 2026 · github.com

Assessment tools

NoRead 23 Sep 2026 · fdtdx.readthedocs.io

Authoring tools

YesRead 23 Sep 2026 · fdtdx.readthedocs.io

Data export

YesRead 23 Sep 2026 · fdtdx.readthedocs.io

Delivery mode

desktopRead 23 Sep 2026 · fdtdx.readthedocs.io

Documentation

The project provides an API reference, tutorial guides, and best-practice documentation.Read 3 Oct 2026 · github.com

GPU integrations

The project README lists JAX installation options for NVIDIA GPUs, AMD GPUs, and TPUs.Read 4 Oct 2026 · github.com

GPU support

The project describes GPU-accelerated simulations with multi-GPU scaling capabilities.Read 3 Oct 2026 · fdtdx.readthedocs.io

Guides

Documentation includes interactive Jupyter quickstarts, physics tutorials, component examples, and an API reference.Read 4 Oct 2026 · fdtdx.readthedocs.io

Installation

The maker provides a pip installation command and an editable installation path for development.Read 4 Oct 2026 · fdtdx.readthedocs.io

JAX

FDTDX is built on JAX and provides automatic differentiation for gradient-based optimization.Read 3 Oct 2026 · fdtdx.readthedocs.io

JAX foundation

FDTDX is built on JAX and provides automatic differentiation and native GPU support.Read 4 Oct 2026 · fdtdx.readthedocs.io

Lesson library

NoRead 23 Sep 2026 · fdtdx.readthedocs.io

License and cost

FDTDX is freely available for research, development, and commercial use under the MIT license.Read 3 Oct 2026 · github.com

License and use

The project says it is freely available for research, development, and commercial use; its GitHub repository lists an MIT license.Read 4 Oct 2026 · github.com

Limitations

The FAQ describes FDTDX as relatively new and says bugs may occur despite testing.Read 4 Oct 2026 · fdtdx.readthedocs.io

Memory

FDTDX uses time-reversibility in Maxwell’s equations for memory-efficient gradient computation.Read 4 Oct 2026 · fdtdx.readthedocs.io

Optimization

It provides built-in gradient-based optimization for complex 3D structures.Read 4 Oct 2026 · fdtdx.readthedocs.io

Performance

The project describes GPU-accelerated simulations with multi-GPU scaling capabilities.Read 4 Oct 2026 · fdtdx.readthedocs.io

Scale

The documentation says FDTDX can handle simulations with billions of grid cells.Read 4 Oct 2026 · fdtdx.readthedocs.io

Plans and prices

Every FDTDX plan and price →

Where Specifiction places it

• Physics Simulation Software#12 of 898.6