Argonne National Laboratory
Autonomous Discovery
Reimagining the Future of Scientific Discovery Through AI, Robotics and Labwide Collaboration
Argonne National Laboratory is transforming the future of laboratory science with our exploration into autonomous discovery. This initiative centers on the idea that self-driving labs can streamline processes, save resources and accelerate the pace of discovery.
Our program harnesses the power of artificial intelligence (AI) — including robotics, machine learning, simulations and more — to aid in the planning, execution and analysis of scientific experiments.
Our Goals
- Automate the laboratory. We can cover lab benchtops with fixed-in-place robots.
- Automate the scientist. We can incorporate mobile, “human-like” robots in lab spaces.
- Automate the scientific process. AI can run thousands of experiments, evaluate results, identify patterns and determine next steps.
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Argonne Accelerates Science with Autonomous Discovery
Researchers at Argonne are pioneering the next generation of scientific experimentation. It’s called autonomous discovery, and it harnesses the power of robotics, machine learning and artificial intelligence to solve big problems.
PROJECTS
Reducing electronics waste using autonomous discovery
Argonne is working to develop an autonomous method to identify the best stressor-specific, low-energy deconstruction pathways for conjugated polymers.
Building a mobile robotic scientist to speed materials discovery
An important component of self-driving laboratories, dexterous, free-roaming robots — basically, robotic scientists – will free up researchers for more complex tasks.
Improving energy storage using autonomous experiments
Argonne developed a theoretical and AI framework to identify molecules with the desired energy storage properties from a large chemical space.
