The open Interconnected Science Ecosystem (INTERSECT) architecture connects scientific instruments and robot-controlled laboratories with computing and data resources at the edge, the Cloud or the high-performance computing center to enable autonomous experiments, self-driving laboratories, smart manufacturing, and artificial intelligence driven design, discovery and evaluation. Its a novel approach consists of science use case design patterns, a system of systems architecture, and a microservice architecture.
The INTERSECT architecture documentation is written in ReStructured Text (RST) format and uses Sphinx to generate the Web-based documentation.
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Download and setup:
shell$ git clone --single-branch --branch main https://github.com/ORNL/intersect-architecture.git shell$ cd intersect-architecture shell$ python3 -m venv ve3 shell$ source ve3/bin/activate shell$ pip install pip --upgrade shell$ pip install -r requirements.txt -
Edit and build
shell$ source ve3/bin/activate shell$ vi myfile.rst shell$ make -
View in browser (e.g., using
openutility on macOS)shell$ open _build/index.html
Research sponsored by the Laboratory Directed Research and Development Program's INTERSECT Initiative of Oak Ridge National Laboratory.
Christian Engelmann, Michael Brim, Swen Boehm, Olga Kuchar, Jack Lange, Thomas Naughton, Patrick Widener, Ben Mintz, Rob Moore, Elke Arenholz, Scott Atchley, Suhas Somnath, and Rohit Srivastava. INTERSECT Architecture Documentation. URL: https://intersect-architecture.readthedocs.io
Please contact Christian Engelmann at [email protected] with any comments or questions.
This work is licensed under a Creative Commons Attribution 4.0 International License. See LICENSE for more information.
