Lumerical Automation API Python is a python library, known as Lumapi, that allows users to interact with Lumerical’s solvers and perform complex tasks, such as data analysis, optimization, and inverse design. It is a powerful tool for developing custom workflows and applications for photonic simulations.
Some of the features and benefits of using Lumerical Automation API Python are:
- Achieves compatibility with Python 3 and allows importation as a module in any Python environment.
- Executes Lumerical scripts as methods and pass data between Python and Lumerical objects.
- Accesses the Interop Server, enabling remote execution of Lumerical commands on a different machine or cluster.
- Uses Lumopt, a module for photonic inverse design, to autonomously determine optimal geometry for a given performance target.
- Generates publication-quality plots using Python’s plotting libraries.
To learn more about Lumerical Automation API Python, you can visit the following web pages:
- Python API overview :This page provides an introduction to the Python API and its use cases.
- Session management - Python API : This page explains how to import the Lumapi module, initialize a session, and access simulation objects.
- Ansys Lumerical Automation API for Python and Lumerical Scripts - This page offers some examples of how to use the Python API and Lumerical scripts for various applications.
- Interop Server - Remote API - The Lumerical Remote Python API Interop Server allows you to use the Python API remotely on a Linux machine.