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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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Illustration of melting point of lithium chloride, which is shown with green and blue structures in two rows.

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. 

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 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 Oak Ridge National Laboratory 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 ORNL’s 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 Âé¶¹Ó°Òô in defense, aviation and energy, while growing high-tech jobs and strengthening the U.S. manufacturing base.

Illustration of a virtual meeting on a laptop screen featuring diverse cartoon avatars of people in a grid layout. In the center, a logo reads “Winter Classic Invitational Student Cluster Competition.†The background consists of digital blue circuitry and data flow patterns, suggesting a technology or computing theme.

ORNL researchers helped introduce college students to quantum computing for the first time during the 2025 Winter Classic Invitational, providing hands-on access to real quantum hardware and training future high-performance computing users through a unique challenge that bridged classical and quantum technologies.

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.

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

During his first visit to Oak Ridge National Laboratory, Energy Secretary Chris Wright compared the urgency of the Lab’s World War II beginnings to today’s global race to lead in artificial intelligence, calling for a “Manhattan Project 2.â€

Hugh O'Neil, director or ORNL's Center for Structural Molecular Biology is sitting in the lab on a stool, hand on desk with glasses on. There are lab related items blurred in the foreground.

Hugh O’Neill’s lifelong fascination with the complexities of the natural world drives his research at ORNL, where he’s using powerful neutron beams to dive deep into the microscopic realm of biological materials and unlock secrets for better production of domestic biofuels and bioproducts.

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.

Autonomous Configurable Component Evaluation Power Test platform, called ACCEPT, enabling automated characterization of semiconductor devices.

Researchers at Oak Ridge National Laboratory have developed a new automated testing capability for semiconductor devices, which is newly available to researchers and industry partners in the Grid Research Integration and Deployment Center.