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The Department of Energy’s Oak Ridge National Laboratory had a major presence at the second annual AI+ Expo for National Competitiveness in Washington, D.C. The event, hosted by the Special Competitive Studies Project, showcased prominent players in technology, academia and government as they navigate the rapid growth of artificial intelligence.

The Department of Energy’s Oak Ridge National Laboratory and artificial intelligence company Atomic Canyon signed a memorandum of understanding to streamline the licensing process for nuclear power plants with artificial intelligence for license application reviews.

DOE’s Argonne, Idaho, and Oak Ridge National Laboratories co-hosted the AI x Nuclear Energy Executive Summit: Unleashing the Power for AI. It brought together leaders from national labs, tech companies and the nuclear energy industry to discuss how to meet AI’s energy needs and accelerate nuclear energy via AI.

A former intern for ORNL was selected to represent Tennessee presenting his research at the National Junior Science and Humanities Symposium. Langalibalele “Langa” Lunga, a senior at Farragut High School in Knoxville, Tennessee, interned with ORNL working on deep learning for fast scanning microscopy, a technique for capturing microscopic images more rapidly than traditional methods.

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications. 

Members of the Quantum Science Center, or QSC, gathered at an all-hands meeting in Baton Rouge, Louisiana, in mid-May to reflect on the remarkable accomplishments from the past five years and to prepare for what members hope to be the next five years of the center.

ORNL’s Biological Monitoring and Abatement Program, or BMAP, is marking 40 years of helping steward the DOE’s 33,476 acres of land on which some of the nation’s most powerful science and technology missions are carried out. 

Researchers at ORNL have developed a tool that gives builders a quick way to measure, correct and certify level foundations. FLAT, or the Flat and Level Analysis Tool, examines a 360-degree laser scan of a construction site using ORNL-developed segmentation algorithms and machine learning to locate uneven areas on a concrete slab. 

Paul is exploring the next frontier: bridging quantum computing with neutron science. His research aims to integrate quantum algorithms with neutron scattering experiments, opening new possibilities for understanding materials at an atomic level.

The fifth annual Quantum Science Center, or QSC, Summer School at Purdue University, held Apr. 21 through Apr. 25, 2025, welcomed its largest group of students to date. Experts from industry, academia and national laboratories gathered at the Purdue Quantum Science and Engineering Institute to share their research in multiple areas of quantum science.