Filter News
Area of Research
- (-) Computer Science (7)
- (-) Materials (69)
- (-) National Security (34)
- Advanced Manufacturing (4)
- Biology and Environment (24)
- Clean Energy (73)
- Computational Engineering (1)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (26)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials for Computing (11)
- Neutron Science (12)
- Nuclear Science and Technology (17)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (35)
News Topics
- (-) Cybersecurity (22)
- (-) Fusion (8)
- (-) Grid (12)
- (-) Isotopes (13)
- (-) Machine Learning (20)
- (-) Microscopy (27)
- (-) Polymers (17)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (25)
- Advanced Reactors (5)
- Artificial Intelligence (26)
- Big Data (11)
- Bioenergy (14)
- Biology (8)
- Biomedical (8)
- Biotechnology (1)
- Buildings (7)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (9)
- Composites (9)
- Computer Science (47)
- Coronavirus (6)
- Critical Materials (13)
- Decarbonization (9)
- Energy Storage (35)
- Environment (21)
- Exascale Computing (3)
- Frontier (3)
- High-Performance Computing (10)
- Irradiation (1)
- ITER (1)
- Materials (74)
- Materials Science (78)
- Mathematics (1)
- Molten Salt (3)
- Nanotechnology (39)
- National Security (34)
- Net Zero (1)
- Neutron Science (35)
- Nuclear Energy (21)
- Partnerships (14)
- Physics (29)
- Quantum Computing (3)
- Quantum Science (15)
- Renewable Energy (1)
- Security (11)
- Simulation (2)
- Summit (5)
- Sustainable Energy (17)
- Transformational Challenge Reactor (3)
- Transportation (16)
Media Contacts
![Cody Lloyd stands in front of images of historical nuclear field testing. The green and red dots are the machine learning algorithm recognizing features in the image. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P05797_0.jpg?h=4a7d1ed4&itok=S8h_wvJX)
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career
![Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P06111_0.jpg?h=c6980913&itok=dgI-yVRh)
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.
![Two researchers standing back to back in a grassy area](/sites/default/files/styles/list_page_thumbnail/public/2023-07/CSJ_1716_updated.jpg?h=2dfa0735&itok=U-3yNm3M)
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
![Tristen Mullins. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/mullins_0.jpg?h=dab30fcb&itok=dsFGJyMz)
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
![HFIR](/sites/default/files/styles/list_page_thumbnail/public/2020-04/HFIR_0.jpg?h=56d0ca2e&itok=8tMcVdaT)
Creating energy the way the sun and stars do — through nuclear fusion — is one of the grand challenges facing science and technology. What’s easy for the sun and its billions of relatives turns out to be particularly difficult on Earth.
![TIP graphic](/sites/default/files/styles/list_page_thumbnail/public/2023-06/TIPbg_1200.png?h=da33fe38&itok=y7ggwHLV)
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
![Rigoberto Advincula](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2020-P08153.jpg?h=8f9cfe54&itok=J1Xib1hr)
Rigoberto Advincula, a renowned scientist at ORNL and professor of Chemical and Biomolecular Engineering at the University of Tennessee, has won the Netzsch North American Thermal Analysis Society Fellows Award for 2023.
![The Fuel Pellet Fueling Laboratory at ORNL is part of a suite of fusion energy R&D capabilities and provides test equipment and related diagnostics for carrying out experiments to develop pellet injectors for plasma fueling applications. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2021-P02876_0.jpg?h=c6980913&itok=8fqWlX5k)
ORNL will team up with six of eight companies that are advancing designs and research and development for fusion power plants with the mission to achieve a pilot-scale demonstration of fusion within a decade.
![Tomonori Saito, Oak Ridge National Laboratory’s Inventor of the Year, was honored at Battelle’s Celebration of Solvers. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/2022-P11389.jpg?h=04df159e&itok=ptAD9rQS)
Tomonori Saito, a distinguished innovator in the field of polymer science and senior R&D staff member at ORNL, was honored on May 11 in Columbus, Ohio, at Battelle’s Celebration of Solvers.
![Andrew Lupini](/sites/default/files/styles/list_page_thumbnail/public/2023-04/lupini.png?h=181bc054&itok=c-ov-WoV)
Andrew Lupini, a scientist and inventor at ORNL, has been elected Fellow of the Microscopy Society of America.