![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- (-) Clean Energy (39)
- (-) Supercomputing (55)
- Advanced Manufacturing (5)
- Biology and Environment (18)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (32)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (74)
- Materials for Computing (7)
- National Security (25)
- Neutron Science (104)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (41)
- (-) Isotopes (1)
- (-) Neutron Science (20)
- (-) Nuclear Energy (11)
- (-) Partnerships (12)
- (-) Security (9)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (7)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biomedical (22)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Climate Change (35)
- Composites (17)
- Computer Science (107)
- Coronavirus (25)
- Critical Materials (12)
- Cybersecurity (14)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (2)
- Grid (42)
- High-Performance Computing (39)
- Hydropower (2)
- Machine Learning (19)
- Materials (45)
- Materials Science (40)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (11)
- Net Zero (4)
- Physics (7)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (69)
Media Contacts
![Nuclear—Deep space travel Nuclear—Deep space travel](/sites/default/files/styles/list_page_thumbnail/public/Screen%20Shot%202018-12-19%20at%2010.29.32%20AM.png?itok=hq0dlVIf)
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.
![Ryan Kerekes is leader of the RF, Communications, and Cyber-Physical Security Group at Oak Ridge National Laboratory. Photos by Genevieve Martin, ORNL. Ryan Kerekes is leader of the RF, Communications, and Cyber-Physical Security Group at Oak Ridge National Laboratory. Photos by Genevieve Martin, ORNL.](/sites/default/files/styles/list_page_thumbnail/public/Ryan%20Kerekes%20Profile%20lab1_0.jpg?itok=btnfhbaJ)
As leader of the RF, Communications, and Cyber-Physical Security Group at Oak Ridge National Laboratory, Kerekes heads an accelerated lab-directed research program to build virtual models of critical infrastructure systems like the power grid that can be used to develop ways to detect and repel cyber-intrusion and to make the network resilient when disruption occurs.
![The sensors measure parameters like temperature, chemicals and electric grid elements for industrial and electrical applications. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy The sensors measure parameters like temperature, chemicals and electric grid elements for industrial and electrical applications. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/drone%20inspecting%20EPB%20pole%20mounted%20transformers.jpg?itok=CiRIK4cC)
Brixon, Inc., has exclusively licensed a multiparameter sensor technology from the Department of Energy’s Oak Ridge National Laboratory. The integrated platform uses various sensors that measure physical and environmental parameters and respond to standard security applications.
![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
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/2017-S00094_2.jpg?itok=ZGWBnMOv)
Researchers used neutrons to probe a running engine at ORNL’s Spallation Neutron Source