![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (43)
- (-) Artificial Intelligence (31)
- (-) Big Data (7)
- (-) Cybersecurity (17)
- (-) Grid (15)
- (-) Machine Learning (13)
- (-) Quantum Science (26)
- (-) Renewable Energy (1)
- (-) Transformational Challenge Reactor (4)
- Advanced Reactors (10)
- Bioenergy (23)
- Biology (21)
- Biomedical (17)
- Biotechnology (7)
- Buildings (13)
- Chemical Sciences (28)
- Clean Water (2)
- Climate Change (22)
- Composites (10)
- Computer Science (58)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (19)
- Education (3)
- Element Discovery (1)
- Energy Storage (42)
- Environment (35)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (15)
- Fusion (14)
- High-Performance Computing (28)
- Isotopes (18)
- ITER (2)
- Materials (57)
- Materials Science (50)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (26)
- Partnerships (29)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Security (11)
- Simulation (8)
- Space Exploration (3)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transportation (25)
Media Contacts
![Paul Brackman loads 3D-printed metal samples into a tower for examination using an X-ray CT scan in DOE’s Manufacturing Demonstration Facility at ORNL. Credit: Brittany Cramer/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-10/X-ray%20CT%20scan.png?h=8caed45b&itok=S3NHrWlr)
A new deep-learning framework developed at ORNL is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The reduced costs for time, labor, maintenance and energy are expected to accelerate expansion of additive manufacturing, or 3D printing.
![From left, Michael Starke, Steven Campbell and Madhu Chinthavali of ORNL discuss the configuration of the power electronics hub demonstrated with hardware in the low-voltage lab at GRID-C. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/Power%20electronics%20hub_0_0.jpg?h=eb3f9682&itok=hkr9h1KF)
Researchers at ORNL recently demonstrated a new technology to better control how power flows to and from commercial buildings equipped with solar, wind or other renewable energy generation.
![Solar panels funded by the Honnold Foundation are installed in Adjuntas, Puerto Rico. Credit: Fabio Andrade](/sites/default/files/styles/list_page_thumbnail/public/2022-09/grid-thumb2.jpg?h=252f27fa&itok=p9gjQHsR)
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
![Maj. Maria McClelland, ORNL’s chief information security officer, nominated UT-Battelle for the Department of Defense's Freedom Award. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/McClelland.jpg?h=f7d9296c&itok=fPOVvw4k)
The Department of Defense has recognized UT-Battelle with a 2022 Secretary of Defense Employer Support Freedom Award, the highest recognition given by the United States government to employers for their support of staff members who serve as reserve members of the U.S. Armed Forces, known collectively as the Reserve component.
![Technology Innovation Program](/sites/default/files/styles/list_page_thumbnail/public/2022-08/TIPbg_0.jpg?h=a50b7bdc&itok=_3vRlbkP)
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
![ORNL researchers are perfecting ways to use drones to check remote parts of the electric grid for dangerous electrical arcing that could start wildfires. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/drone%20pic%202_0.jpg?h=4362216e&itok=3gcxVXPE)
As climate change leads to larger and more frequent wildfires, researchers at ORNL are using sensors, drones and machine learning to both prevent fires and reduce their damage to the electric grid.
![Magnetic quantum material broadens platform for probing next-gen information technologies](/sites/default/files/styles/list_page_thumbnail/public/2022-07/2022-G00762_DataOilPaintingStill_Stone_jnd_April2022.jpg?h=d1cb525d&itok=oepl7N2Y)
Scientists at ORNL used neutron scattering to determine whether a specific material’s atomic structure could host a novel state of matter called a spiral spin liquid.
![ORNL polymer scientists Tomonori Saito, left, and Sungjin Kim upcycled waste plastic to create a stronger, tougher, solvent-resistant material for new additive manufacturing applications. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/2022-P04745_2.jpg?h=c6980913&itok=9DI9K-vJ)
ORNL researchers have developed an upcycling approach that adds value to discarded plastics for reuse in additive manufacturing, or 3D printing.
![Frontier has arrived, and ORNL is preparing for science on Day One. Credit: Carlos Jones/ORNL, Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/Frontier%20endcap.jpg?h=c6980913&itok=5i5DUzQz)
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
![A smart approach to microscopy and imaging developed at Oak Ridge National Laboratory could drive discoveries in materials for future technologies. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/PFC%20Surface%20v3%20300dpi_1.jpg?h=9c3ba2fc&itok=s8arZbEt)
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.