Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (42)
- Building Technologies (1)
- Clean Energy (66)
- Climate and Environmental Systems (2)
- Computational Engineering (3)
- Computer Science (12)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Fusion Energy (2)
- Isotopes (17)
- Materials (20)
- Materials for Computing (4)
- Mathematics (1)
- National Security (23)
- Neutron Science (7)
- Nuclear Science and Technology (5)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (57)
News Type
News Topics
- (-) Clean Water (20)
- (-) Climate Change (59)
- (-) Computer Science (109)
- (-) Cybersecurity (26)
- (-) Grid (42)
- (-) Isotopes (32)
- (-) Transformational Challenge Reactor (4)
- 3-D Printing/Advanced Manufacturing (87)
- Advanced Reactors (25)
- Artificial Intelligence (46)
- Big Data (30)
- Bioenergy (56)
- Biology (60)
- Biomedical (36)
- Biotechnology (14)
- Buildings (41)
- Chemical Sciences (47)
- Composites (20)
- Coronavirus (34)
- Critical Materials (24)
- Decarbonization (41)
- Education (3)
- Element Discovery (1)
- Energy Storage (86)
- Environment (116)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (18)
- Fusion (30)
- High-Performance Computing (46)
- Hydropower (8)
- Irradiation (2)
- ITER (6)
- Machine Learning (28)
- Materials (101)
- Materials Science (95)
- Mathematics (5)
- Mercury (9)
- Microscopy (36)
- Molten Salt (7)
- Nanotechnology (44)
- National Security (36)
- Net Zero (6)
- Neutron Science (84)
- Nuclear Energy (58)
- Partnerships (28)
- Physics (44)
- Polymers (26)
- Quantum Computing (14)
- Quantum Science (38)
- Renewable Energy (1)
- Security (18)
- Simulation (19)
- Space Exploration (13)
- Statistics (3)
- Summit (28)
- Sustainable Energy (88)
- Transportation (71)
Media Contacts
![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’s Frank Combs and Michael Starr of the U.S. Armed Forces (driver) work in ORNL’s Vehicle Security Laboratory to evaluate a prototype device that can detect network intrusions in all modern vehicles. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy ORNL’s Frank Combs and Michael Starr of the U.S. Armed Forces (driver) work in ORNL’s Vehicle Security Laboratory to evaluate a prototype device that can detect network intrusions in all modern vehicles. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/news/images/01_Cybersecurity_guarding_autonomous_vehicles.jpg?itok=qaErb8Ia)
A new Oak Ridge National Laboratory-developed method promises to protect connected and autonomous vehicles from possible network intrusion. Researchers built a prototype plug-in device designed to alert drivers of vehicle cyberattacks. The prototype is coded to learn regular timing...
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![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.
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
Scientists of the Next-Generation Ecosystem Experiments are blogging from the Arctic this summer. Follow their adventures at http://ngee-arctic.blogspot.com/. Participants share troubles and triumphs from the field in entries with headings like "Flying Wild Alaska" and "Hitting the Tundra." "The b...
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
Through a network that consists of hundreds of low-cost monitors that plug into standard 110-volt outlets, GridEye can play a role in ensuring the reliability of the nation's power grids. The system, developed by researchers at Oak Ridge National Laboratory, provides real-time information about dyna...