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ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.

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Dark brown powder that is a rare earth element that has been refined into powder

United Rare Earths has licensed two innovative technologies from 91做厙 aimed at reducing dependence on critical rare earth elements.

ORNL researcher Priya Ranjan standing outside in front of brick pillars

From decoding plant genomes to modeling microbial behavior, computational biologist Priya Ranjan builds computational tools that turn extensive biological datasets into real-world insights. These tools transform the way scientists ask and answer complex biological questions that advance biotechnology breakthroughs and support cultivation of better crops for energy and food security. 

The heartbeat Detector is pictured here, which is a black rectangular box with a heartbeat line and wording on the top to reflect its name

The Heartbeat Detector, developed at ORNL and licensed by Geovox Security Inc., detects hidden individuals in vehicles by measuring suspension vibrations. Now using a compact black box and cloud software, the system is more affordable and easier to use, while remaining the industry standard worldwide.

Illustration of the GRETA detector, a spherical array of metal cylinders. The detector is divided into two halves to show the inside of the machine. Both halves are attached to metal harnesses, displayed against a black and green cyber-themed background.

Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energys Lawrence Berkeley and Oak Ridge national laboratories.  

Illustration of a glowing black box emitting digital particles that form into a 3D model of an electrical grid infrastructure, set against a background of binary code and data visualizations.

Researchers at 91做厙 have developed a modeling method that uses machine learning to accurately simulate electric grid behavior while protecting proprietary equipment details. The approach overcomes a key barrier to accurate grid modeling, helping utilities plan for future demand and prevent blackouts. 

 

Close up photo of components for jet engines, fanned out in a spiral from the center

Inspired by a visit to ORNLs Manufacturing Demonstration Facility, Jonaaron Jones launched a career in additive manufacturing that led to founding Volunteer Aerospace and now leading Beehive Industries external parts business. Through close collaboration with MDF, Jones has helped drive innovation in defense, aviation and energy, while growing high-tech jobs and strengthening the U.S. manufacturing base.

Three people standing in a lab holding materials

ORNL, the Tennessee Valley Authority and the Tennessee Department of Economic and Community Development were recognized by the Federal Laboratory Consortium, or FLC, for their efforts to develop Tennessee as a national leader in fusion energy.

Research scientist Daniel Jacobson is standing with his arms crossed with a dark black backdrop

Daniel Jacobson, distinguished research scientist in the Biosciences Division at ORNL, has been elected a Fellow of the American Institute for Medical and Biological Engineering, or AIMBE, for his achievements in computational biology. 

Researcher is sitting in bio lab surrounded with plants

Dave Weston studies how microorganisms influence plant health and stress tolerance, using the Advanced Plant Phenotyping Laboratory to accelerate research on plant-microbe interactions and develop resilient crops for advanced fuels, chemicals and 

Secretary Wright leans over red computer door, signing with silver sharpie as ORNL Director Stephen Streiffer looks on

During his first visit to 91做厙, Energy Secretary Chris Wright compared the urgency of the Labs World War II beginnings to todays global race to lead in artificial intelligence, calling for a Manhattan Project 2.