![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
- Advanced Manufacturing (1)
- Clean Energy (9)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (7)
- Materials (7)
- National Security (3)
- Neutron Science (1)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (20)
News Type
News Topics
- (-) Artificial Intelligence (10)
- (-) Computer Science (35)
- (-) Frontier (2)
- (-) Microscopy (5)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (16)
- Advanced Reactors (7)
- Big Data (5)
- Bioenergy (8)
- Biomedical (6)
- Clean Water (4)
- Composites (4)
- Critical Materials (4)
- Cybersecurity (8)
- Energy Storage (6)
- Environment (17)
- Exascale Computing (2)
- Fusion (6)
- Grid (5)
- Isotopes (4)
- Machine Learning (4)
- Materials Science (19)
- Mercury (4)
- Molten Salt (4)
- Nanotechnology (9)
- Neutron Science (22)
- Nuclear Energy (15)
- Physics (9)
- Polymers (3)
- Quantum Science (10)
- Space Exploration (4)
- Summit (7)
- Sustainable Energy (7)
- Transportation (14)
Media Contacts
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
James Peery, who led critical national security programs at Sandia National Laboratories and held multiple leadership positions at Los Alamos National Laboratory before arriving at the Department of Energy’s Oak Ridge National Laboratory last year, has been named a...
![From left, Andrew Lupini and Juan Carlos Idrobo use ORNL’s new monochromated, aberration-corrected scanning transmission electron microscope, a Nion HERMES to take the temperatures of materials at the nanoscale. Image credit: Oak Ridge National Laboratory From left, Andrew Lupini and Juan Carlos Idrobo use ORNL’s new monochromated, aberration-corrected scanning transmission electron microscope, a Nion HERMES to take the temperatures of materials at the nanoscale. Image credit: Oak Ridge National Laboratory](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P00413.jpg?itok=UKejk7r2)
A scientific team led by the Department of Energy’s Oak Ridge National Laboratory has found a new way to take the local temperature of a material from an area about a billionth of a meter wide, or approximately 100,000 times thinner than a human hair. This discove...
![An ORNL-led team conducts moisture durability simulations on construction materials, which will add real-world data to a new system developed to help builders and home designers make informed decisions. Credit: Rachel Brooks/Oak Ridge National Laboratory, An ORNL-led team conducts moisture durability simulations on construction materials, which will add real-world data to a new system developed to help builders and home designers make informed decisions. Credit: Rachel Brooks/Oak Ridge National Laboratory,](/sites/default/files/styles/list_page_thumbnail/public/news/images/03%20Buildings-The_right_stuff.jpg?itok=a9P7uj5K)
A new system being developed at Oak Ridge National Laboratory will help builders and home designers select the best construction materials for long-term moisture durability. “It has become challenging to make informed decisions because of modern building code requirements and new ...
![ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system. ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the
![As hurricanes formed in the Gulf Coast, ORNL activated a computing technique to quickly gather building structure data from Texas’ coastal counties. Credit: Mark Tuttle/Oak Ridge National Laboratory, U.S. Dept. of Energy As hurricanes formed in the Gulf Coast, ORNL activated a computing technique to quickly gather building structure data from Texas’ coastal counties. Credit: Mark Tuttle/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/01%201%20-%20Impacts%20r1.jpg?itok=D1FzgK0y)
Geospatial scientists at Oak Ridge National Laboratory have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...
![ORNL-Lenvio_tech_license_signing_ceremony2 ORNL-Lenvio_tech_license_signing_ceremony2](/sites/default/files/styles/list_page_thumbnail/public/ORNL-Lenvio_tech_license_signing_ceremony2.jpg?itok=xcfN-PbJ)
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.