Electrical Circuit Design Studio

This repository contains a web-based application for designing analog electrical circuits and serves as a testbed for exploring AI-assisted techniques in CPS. It is built using WebGME. This project is still in early stages and is not yet suitable for production usage!

Noteworthy Features

While it can be used as a general purpose circuit editor, this project offers the following capabilities:

1. Import SPICE Netlists and create schematic/diagram for the circuit.
2. Export SPICE Netlists from a circuit for further processing/simulation.
3. Using deep learning models, get recommendations on the next components/wires in the circuit.

Quick Start

Installing this repository requires NodeJS (currently tested for versions 12 and 14), MongoDB and Python > 3.8 with conda. For a native installation, clone this repository:

$ git clone https://github.com/symbench/electric-circuits

Then, create a conda environment using environment.yml:

$ cd electric-circuits
$ conda env create --file environment.yml

After that, install node dependencies and start the server.

$ npm install
$ npm start

Finally, navigate to http://localhost:8888 to start using electric-circuits.

Docker Quick Start

We also offer a docker image for this repository with all the dependencies installed. To start a docker container (without user accounts enabled) for this repository, use docker-compose:

$ docker-compose --file docker-compose-local.yml up

Funding Information

This work is supported by DARPA’s Symbiotic Design for CPS project and by the Air Force Research Laboratory (FA8750-20-C-0537).

LICENSE

Apache-2.0