MaxwellLink connects electromagnetic solvers and molecular drivers into one loop.
Run light and matter solvers in the same process or across HPC computing nodes via TCP/Unix sockets.
Scientific workflow, modern architecture
MaxwellLink is built for large-scale and heterogeneous light–matter simulations. Its modular architecture unifies self-consistent coupling, socketed execution, and automation under one Python interface.
Self-consistent propagation
Run EM propagation and matter evolution in a self-consistent loop, with a unified Python interface.
Extensible modules
Choose your EM solver or molecular driver via uniform Python interface.
Socket interface
Decouple light and matter and run different components on separate processes or nodes via TCP/Unix sockets.
Agent Skills automation
Start from a natural-language prompt to generate inputs and launch runs on local machines or HPC.
Pluggable light & matter solvers
MaxwellLink lets you choose the EM solver that fits your geometry and scale, then couple it to one or more molecular drivers. Each driver can run at a different level of theory, from effective models, open quantum dynamics, real-time electronic structure, to classical MD, all inside the same self-consistent loop.
User-chosen EM engines
Swap the EM backend without rewriting the simulation logic.
Heterogeneous molecular drivers
Mix drivers at different theory levels within one EM run.
Sockets interface for HPC
MaxwellLink can run each EM solver and molecular driver as independent programs communicating through a socket interface. This enables scalable large-scale simulations on HPC systems.
- TCP sockets for multi-node HPC.
- Unix domain sockets for fast local machines.
- Connect light and matter engines written in different languages while keeping a unified simulation loop.
Agent Skills for automated simulations
MaxwellLink ships with Agent Skills that can generate input files and launch simulations from a short natural-language prompt. The workflow is transparent: you can review and edit the generated inputs before running.
Example prompt
In my local machine, run an initially weakly excited two-level system coupled to 2d vacuum using meep fdtd and plot the excited-state population dynamicsLearn more in the Agent Skills documentation.
Get started in minutes
Install MaxwellLink, choose a solver + driver combination, then run a tutorial end-to-end.
- Install the Python package:
pip install maxwelllink - Select an EM solver and molecular drivers.
- Run a tutorial and iterate from there.
For research use, always validate numerical settings (grid, time step, model parameters) for your simulations.