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Using the Frontier supercomputer at ORNL, researchers have developed a new technique that predicts nuclear properties in record detail. The study revealed how the structure of a nucleus relates to the force that holds it together. This understanding could advance efforts in quantum physics and across a variety of sectors, from to energy production to national security.

Computer rendering of the FRIB Decay Station initiator, featuring cylindrical components, vacuum chambers, and a greenish glow, used to measure the decays of exotic isotopes at FRIB.

Scientists at ORNL are using advanced germanium detectors to explore fundamental questions in nuclear physics, such as the nature of neutrinos and the matter-antimatter imbalance. The ongoing LEGEND project, an international collaboration, aims to discover neutrinoless double beta decay, which could significantly advance the understanding of the universe.

Two ORNL scientists are standing outside in front of a blue window with a plant in the top middle of the photo

ORNL's Gregorich and Syed Islam recently completed Cohort 19 of the Energy I-Corps program, an initiative of DOE’s Office of Technology Transitions that provides teams of researchers and industry mentors with an immersive two-month training.

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.

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.

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. 

Picture shows magnetic domains in uranium with a blue and orange organic shapes, similar to lava flowing through water, but in graphic form

The US focuses on nuclear nonproliferation, and ORNL plays a key role in this mission. The lab conducts advanced research in uranium science, materials analysis and nuclear forensics to detect illicit nuclear activities. Using cutting-edge tools and operational systems, ORNL supports global efforts to reduce nuclear threats by uncovering the history of nuclear materials and providing solutions for uranium removal. 

ORNL computing staff members Hector Suarez (middle) and William Castillo (right) talk HPC at the Tapia Conference career fair in San Diego, California. Credit: ORNL, U.S. Dept of Energy

The National Center for Computational Sciences, located at the Department of Energy’s Oak Ridge National Laboratory, made a strong showing at computing conferences this fall. Staff from across the center participated in numerous workshops and invited speaking engagements.

Four scientists are standing in a field next to a data-gathering tool robot

Scientists at the Department of Energy’s Oak Ridge National Laboratory recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the environment.