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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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Photo is a high aerial view of lake superior through the clouds

Researchers at Stanford University, the European Center for Medium-Range Weather Forecasts, or ECMWF, and ORNL used the lab’s Summit supercomputer to better understand atmospheric gravity waves, which influence significant weather patterns that are difficult to forecast. 

3D map of Washington, D.C. that is a weather model of neighborhood during heat waves. The map is red and green indicating which buildings are giving off more heat
Scientists at ORNL have developed a first-ever urban heat wave simulation that takes into account the compounding effects from building infrastructure. The method provides a more accurate picture of the impacts from excessive heat on at-risk
Scientist in a grey suit is standing on stage giving a presentation. There is a TAEBC glowing sign to his right,

In November, state leaders from across the advanced energy industry gathered in downtown Knoxville to recognize current and future leaders and celebrate innovation at the 11th annual Opportunities in Energy conference, held by the Tennessee Advanced Energy Business Council.

Graphic representation of three woman, pictured in black in white, representing technology transfer awards

Oak Ridge National Laboratory announced its latest cohort of technology transfer liaisons, a group of experts selected to bridge the gap between research and commercialization efforts. 

seven scientists' headshots are listed horizontally in a graphic representing the Battelle Distingished Inventors

Seven scientists affiliated with ORNL have been named Battelle Distinguished Inventors in recognition of being granted 14 or more United States patents. Since Battelle began managing ORNL in 2000, 104 ORNL researchers have reached this milestone.

A small sample from the Frontier simulations reveals the evolution of the expanding universe in a region containing a massive cluster of galaxies from billions of years ago to present day (left).

In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted. The achievement was made using the Frontier supercomputer at Oak Ridge National Laboratory. 

microscopic ctherm biomass

Using a best-of-nature approach developed by researchers working with the Center for Bioenergy Innovation at the Department of Energy’s Oak Ridge National Laboratory and Dartmouth University, startup company Terragia Biofuel is targeting commercial biofuels production that relies on renewable plant waste and consumes less energy. The technology can help meet the demand for billions of gallons of clean liquid fuels needed to reduce emissions from airplanes, ships and long-haul trucks.

ORNL inventor Michael Smith, right, holds a laptop showing what Scott Greenwood, left, sees through an augmented reality headset.

Teletrix, a company specializing in radiation training tools, has transitioned from a research and development license to a commercial license for its augmented reality, or AR, platform that simulates ionizing radiation. This advanced platform was developed using technologies licensed from ORNL.

Graphic of Brian Iezzi as part of Cohort 2024

Fibarcode, founded by Brian Iezzi, develops technology that embeds a digital barcode into fibers to improve textile recycling, and as a participant in the Innovation Crossroads program at ORNL, aims to reduce the fashion industry's environmental impact by providing transparency about garment composition and origin throughout its lifecycle.

Nine men are pictured here standing in front of a window, posing for a group photo with 5 standing and 4 sitting.

A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a scalable, distributed training framework called AxoNN, which leverages GPUs to rapidly train large language models.