Oak Ridge National Laboratory

03/19/2026 | News release | Distributed by Public on 03/20/2026 08:58

ORNL merges AI, automation and leading-edge microscopes

Bringing Big Science to the smallest scales

Published: March 19, 2026
Updated: March 19, 2026

Researchers in the Physical Sciences Directorate at the Department of Energy's Oak Ridge National Laboratory are pushing the boundaries of science by combining artificial intelligence, automation and leading-edge imaging technology in a push toward autonomous experimentation. By leveraging the strengths of each of these elements in coordination with human intuition, they hope to create autonomous workflows that enhance researchers' abilities to answer some of the toughest questions in science.

These innovative imaging approaches let scientists explore everything from the atomic makeup of new materials to innovative techniques for data management in next-generation electronics. These are efforts that can lead to advances in computer memory, quantum technology and more.

By merging the strengths of human insight with AI, automation and advanced microscopes, this work is not only redefining what's possible in science but also paving the way for discoveries across a wide range of fields. The stories highlighted here are just a few examples of AI and automation enhancing the lab's broad and exciting research portfolio.

UT-Battelle manages ORNL for DOE's Office of Science. The single largest supporter of basic research in the physical sciences in the United States, the Office of Science is working to address some of the most pressing challenges of our time. For more information, visit energy.gov/science.

Media Contact
Greg Cunningham , Senior Communications Specialist, Physical Sciences Directorate , 865.341.1720 | [email protected]
Oak Ridge National Laboratory published this content on March 19, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on March 20, 2026 at 14:58 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]