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
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.
Argonne is working to develop an autonomous method to identify the best stressor-specific, low-energy deconstruction pathways for conjugated polymers.
An important component of self-driving laboratories, dexterous, free-roaming robots — basically, robotic scientists – will free up researchers for more complex tasks.
Argonne developed a theoretical and AI framework to identify molecules with the desired energy storage properties from a large chemical space.
