![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
News Topics
- (-) Biomedical (7)
- (-) Environment (22)
- (-) Grid (10)
- (-) Materials Science (19)
- (-) Security (3)
- (-) Transportation (12)
- 3-D Printing/Advanced Manufacturing (16)
- Advanced Reactors (3)
- Artificial Intelligence (28)
- Big Data (15)
- Bioenergy (11)
- Biology (13)
- Biotechnology (6)
- Buildings (17)
- Chemical Sciences (19)
- Clean Water (5)
- Climate Change (24)
- Composites (7)
- Computer Science (26)
- Critical Materials (7)
- Decarbonization (23)
- Education (1)
- Emergency (1)
- Energy Storage (12)
- Exascale Computing (8)
- Fossil Energy (3)
- Frontier (8)
- Fusion (8)
- High-Performance Computing (19)
- Isotopes (13)
- ITER (1)
- Machine Learning (10)
- Materials (15)
- Mathematics (4)
- Microelectronics (2)
- Microscopy (2)
- Nanotechnology (2)
- National Security (24)
- Net Zero (6)
- Neutron Science (13)
- Nuclear Energy (11)
- Partnerships (17)
- Physics (6)
- Polymers (5)
- Quantum Computing (13)
- Quantum Science (14)
- Simulation (14)
- Space Exploration (3)
- Statistics (2)
- Summit (6)
- Sustainable Energy (21)
Media Contacts
![VENUS, slated for user beamtime next fall, dons ORNL green to symbolize involvement from scientists and researchers across ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2024-08/VENUS%20from%20above%20with%20punch_0.jpg?h=6f8e8448&itok=jqIbvtLF)
DOE commissioned a neutron imaging instrument, VENUS, at the Spallation Neutron Source in July. VENUS instrument scientists will use AI to deliver 3D models to researchers in half the time it typically takes.
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
![Jeremiah Sewell](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2023-P10892.jpg?h=c6980913&itok=nr9xd3j7)
Jeremiah Sewell leads a team at ORNL, working on xenon-129 production for lung imaging. Reflecting on his career, Sewell views each opportunity as a "door" he steps through, leveraging over 25 years of experience in nuclear power and centrifuge operations to advance the facility’s mission.
![Beach to show impact of a hurricane](/sites/default/files/styles/list_page_thumbnail/public/2024-08/AdobeStock_3028575%201.jpeg?h=2067f444&itok=Ri7rXNQ-)
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](/sites/default/files/styles/list_page_thumbnail/public/2024-08/Picture4.jpg?h=b38bf506&itok=dUHD6CQU)
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.
![The seven entrepreneurs for Cohort 2024](/sites/default/files/styles/list_page_thumbnail/public/2024-08/ICCohort2024.png?h=d1cb525d&itok=LtRT6jzo)
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
![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.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/PEGs%20story%20tip%20thumbnail%20%20-%20polyethylene%20glycol%20molecule.jpg?h=2e111cc1&itok=9RxIBp0c)
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.
![Image with a grey and black backdrop - in front is a diamond with two circles coming out from it, showing the insides.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/thumbnail_OLCF_BC8.jpg?h=b5b1176d&itok=LE-EYtQH)
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P08173.jpg?h=c6980913&itok=Ed354_C-)
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.
![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](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Suman%20%26%20Phani%20working%20in%20GRID-C.jpg?h=c6980913&itok=NvMil7os)
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.