Skip to main content

All News

1 - 10 of 78 Results

Series of black computer cabinets with Discovery printed on the front

The U.S. Department of Energy announced today its newest supercomputers, Discovery and Lux, at Oak Ridge National Laboratory that will expand America’s leadership in artificial intelligence for scientific computing, strengthen national security, and drive the next generation of Gold Standard Science and innovation.

A scanning tunneling microscope and machine learning algorithm autonomously search for atomic structures. This image shows a vacancy defect on europium zinc arsenide.

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that combines probability theory and neural networks to analyze complex datasets with exceptional efficiency. 

ORNL researcher is standing in front of a screen where data and physics model in rainbow colors is on the screen

A new patent granted to ORNL researchers redefines how nuclear systems are validated, offering a faster path to next-generation nuclear energy. By using machine learning to identify high-value experiments, this approach can eliminate redundancies and define clear boundaries for AI and digital twin models.

Shown here is an Illustration of predicted binding modes between a large, flexible ligand and its protein receptor, depicting the dynamics influencing the strength of the molecular interactions.

By combining AI with molecular dynamics simulations, researchers at ORNL have developed a new tool to more accurately predict how plants and helpful microbes communicate and form partnerships at the most fundamental level. The new AI-powered workflow helps scientists identify which plant genes control the best microbial partnerships. 

Illustration of green sparkly background with the words "R&D 100 Award" with an oak leaf underneath

ORNL has set a new lab record with 20 R&D 100 Awards in this year’s global competition, announced by R&D World magazine. ORNL led 17 of the winning innovations and co-developed three more, highlighting its leadership in developing breakthrough technologies that strengthen the nation’s energy systems, advance next-generation materials and manufacturing, and accelerate discovery through AI and high-performance computing.

Carbon nanotubes are sitting on a grey plate on a countertop

The U.S. Air Force awarded startup SkyNano, led by Innovation Crossroads alumna Anna Douglas, a $1.25 million contract to advance its CO2-to-carbon nanotube technology as part of a project to develop low-cost, battery-grade graphite.

MOU signing of ORNL Director and Atomic Canyon with the background of "Nuclear is here" in green and blue

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

10 staff members are gathering inside the AI expo with a large green and white arch behind them

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.

Energy Secretary stands on the podium with blue screens on in the background that say "AI X Nuclear Energy Executive Summit Unleashing the power for AI"

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 color-enhanced 3D laser scan of a large concrete slab in a housing development, showing surface variations in shades of blue, green, yellow, and purple. Surrounding structures and terrain are rendered in black and white. The image was captured using the FLAT tool’s 360-degree scanning technology.

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.