Skip to main content
Stock image of a person in a doctor's coat pointing to white graphics if a person, world and dots, symbolizing the artificial intelligence technology used for cancer pathology
In a major milestone for cancer research, the Department of Energy’s Oak Ridge National Laboratory helped reduce the time between cancer diagnosis and pathology report processing from 22 months to just 14 months, utilizing advanced artificial
ORNL R&D data scientist Max Pasini is posing for a portrait with a blue background, black button up long sleeve shirt

Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Center’s High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in “Groundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.”

quantum network illustration

Researchers at ORNL joined forces with EPB of Chattanooga and the University of Tennessee at Chattanooga to demonstrate the first transmission of an entangled quantum signal using multiple wavelength channels and automatic polarization stabilization over a commercial network with no downtime.

The graphic shows the headshot of Nick Sokol, with text overlay saying "Innovations Crossroads Cohort 2024"

Nick Sokol founded Algaeo, a company that uses microalgae to produce organic fertilizers, offering a sustainable, cost-effective alternative to synthetic fertilizers. Supported by Oak Ridge National Laboratory's Innovation Crossroads program, Sokol is developing this technology to improve soil health, boost plant growth and support small-scale farmers.

Two pictures of a rounded triangle shape are shown in mirror image. The left is white with red and purple spots in the middle while the one on the right is purple with a yellow and blue ring in the middle

Scientists designing the world’s first controlled nuclear fusion power plant, ITER, needed to solve the problem of runaway electrons, negatively charged particles in the soup of matter in the plasma within the tokamak, the magnetic bottle intended to contain the massive energy produced. Simulations performed on Summit, the 200-petaflop supercomputer at ORNL, could offer the first step toward a solution.

ORNL partnerships director Shaun Gleason is posing in a suit for a photo with a black background

Shaun Gleason has been named director of the Partnerships Office at ORNL. Gleason has worked at ORNL for several decades, in a variety of roles, including Director of Science-Security Initiative Integration, Director of the Computational Sciences and Engineering Division and Director of Institutional Planning.

ORNL researcher Phong Le poses for a photo outside on a walkway bridge over the pond. The photo is framed with brown and green plants

Phong Le is a computational hydrologist at ORNL who is putting his skills in hydrology, numerical modeling, machine learning and high-performance computing to work quantifying water-related risks for humans and the environment. 

ORNL’s Askin Guler Yigitoglu presents during the 2024 Molten Salt Reactor Workshop in Knoxville with a green and blue background

ORNL’s annual workshop has become the premier forum for molten salt reactor, or MSR, collaboration and innovation, convening industry, academia and government experts to further advance MSR research and development. This year’s event attracted a record-breaking 365 participants from across the country, highlighting the momentum to bring MSRs online.

A picture containing indoor, equipment, control panel

A research partnership between two Department of Energy national laboratories has accelerated inspection of additively manufactured nuclear components, and the effort is now expanding to inspect nuclear fuels. 

Man is flying drone in hurricane aftermath, holding the controller

During Hurricanes Helene and Milton, ORNL deployed drone teams and the Mapster platform to gather and share geospatial data, aiding recovery and damage assessments. ORNL's EAGLE-I platform tracked utility outages, helping prioritize recovery efforts. Drone data will train machine learning models for faster damage detection in future disasters.