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Beach to show impact of a hurricane

A study found that beaches with manmade fortifications recover more slowly from hurricanes than natural beaches, losing more sand and vegetation. The researchers used satellite images and light detection and ranging data, or LIDAR, to measure elevation changes and vegetation coverage. Changes in elevation showed how much sand was depleted during the storm and how much sand returned throughout the following year. 

Weyl semimetal

At ORNL, a group of scientists used neutron scattering techniques to investigate a relatively new functional material called a Weyl semimetal. These Weyl fermions move very quickly in a material and can carry electrical charge at room temperature. Scientists think that Weyl semimetals, if used in future electronics, could allow electricity to flow more efficiently and enable more energy-efficient computers and other electronic devices.

Students listen as ORNL instrument scientist Hanyu Wang explains the intricacies of the LIQREF instrument at the Spallation Neutron Source

The 26th annual National School on Neutron and X-ray Scattering School concluded on August 9, 2024. Each year, more than 200 graduate students in North America studying physics, chemistry, engineering, biological matter and more compete to participate in NXS. However, given limited space, only 60 can be accepted. The school exposes graduate students to neutron and X-ray scattering techniques through lectures, experiments, and tutorials. 

Benjamin Manard

Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.

Ten future U.S. Army officers

Ten future U.S. Army officers recently visited ORNL to learn about the legacy of nuclear science. As students of the Nuclear Science and Engineering Research Center, or NSERC, with the Defense Threat Reduction Agency, or DTRA, they stopped in East Tennessee as part of a larger tour across nuclear facilities supporting the military. In Oak Ridge, they visited ORNL to gain an appreciation of the history of the Manhattan Project and how research at a national lab contributes new materials and electronics for the nuclear industry. 

Exploding stars, a glowing light

Scientists have determined that a rare element found in some of the oldest solids in the solar system, such as meteorites, and previously thought to have been forged in supernova explosions, actually predate such cosmic events, challenging long-held theories about its origin.

The image depicts a molecule made up of 6 white balls, two smaller red balls and two larger grey balls. This molecule is against a pink, blue and purple background.

A research team led by the Department of Energy’s Oak Ridge National Laboratory demonstrated an effective and reliable new way to identify and quantify polyethylene glycols in various samples. 

Three graphs and one map with grey, long shapes showing the single block group.

Joe Tuccillo, a human geography research scientist, leads the UrbanPop project that uses census data to create synthetic populations. Using a Python software suite called Likeness on ORNL’s high-performance computers, Tuccillo’s team generates a population with individual ‘agents’ designed to represent people that interact with other agents, facilities and services in a simulated neighborhood. 

ORNL researchers Phani Marthi and Suman Debnath work on developing and scaling up new EMT simulation software to analyze how power electronics in the electric grid will respond to brief interruptions in power flow. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid. 

This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.

Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.