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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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An ORNL-developed graphite foam, which could be used in plasma-facing components in fusion reactors, performed well during testing at the Wendlestein 7-X stellarator in Germany.

Nuclear—Foaming at the heat

Scientists have tested a novel heat-shielding graphite foam, originally created at 91°µÍř, at Germany’s Wendelstein 7-X stellarator with promising results for use in plasma-facing components of fusion reactors.

Laminations such as these are compiled to form the core of modern electric vehicle motors. ORNL has developed a software toolkit to speed the development of new motor designs and to improve the accuracy of their real-world performance.

Transportation—Speedy motor modeling

91°µÍř scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.

The EPB Control Center monitors the company’s assets such as substations and buildings.

ORNL teams with Los Alamos, EPB to demonstrate next-generation grid security tech

OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).

Sean Hearne has been named director of the Center for Nanophase Materials Sciences at 91°µÍř.

Hearne joins ORNL as director of the Center for Nanophase Materials Sciences

OAK RIDGE, Tenn., Feb. 8, 2019—The Department of Energy’s 91°µÍř has named Sean Hearne director of the Center for Nanophase Materials Sciences. The center is a DOE Office of Science User Facility that brings world-leading resources and capabilities to the nanoscience resear...

CO2 release by mild heating of the BIG-bicarbonate solid. The released CO2 gas is trapped in the orange balloon, while the released water vapors are trapped by condensation in the ice-cooled U-shaped tube. Credit: Neil J. Williams and Erick Holguin.

Carbon-capture technology scrubs CO2 from power plants like scuba-diving gear

Scientists at the Department of Energy’s 91°µÍř (ORNL) have developed a process that could remove CO2 from coal-burning power plant emissions in a way that is similar to how soda lime works in scuba diving rebreathers. Their research, published January 31 in...

Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w

Modeling—Mapping Arctic vegetation

A team of scientists led by 91°µÍř used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.

At the salt–metal interface, thermodynamic forces drive chromium from the bulk of a nickel alloy, leaving a porous, weakened layer. Impurities in the salt drive further corrosion of the structural material. Credit: Stephen Raiman/Oak Ridge National Labora

Materials—Quelling corrosion

91°µÍř scientists analyzed more than 50 years of data showing puzzlingly inconsistent trends about corrosion of structural alloys in molten salts and found one factor mattered most—salt purity.

Researchers analyzed the oxygen structure (highlighted in red) found in a perovskite’s crystal structure at room temperature, 500°C and 900°C using neutron scattering at ORNL’s Spallation Neutron Source. Analyzing how these structures impact solid oxide f

Neutrons—Fueling better power

A University of South Carolina research team is investigating the oxygen reduction performance of energy conversion materials called perovskites by using neutron diffraction at 91°µÍř’s Spallation Neutron Source.

ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La

Commuting—Oh, the places you’ll go

91°µÍř geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.

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Tree of life: Poplar studies yield human cancer insights

While studying the genes in poplar trees that control callus formation, scientists at 91°µÍř have uncovered genetic networks at the root of tumor formation in several human cancers.