Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (15)
- Clean Energy (101)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (3)
- Fusion Energy (1)
- Isotopes (5)
- Materials (86)
- Materials Characterization (2)
- Materials for Computing (15)
- Materials Under Extremes (1)
- National Security (36)
- Neutron Science (21)
- Supercomputing (27)
- Transportation Systems (2)
News Topics
- (-) Materials (143)
- (-) National Security (60)
- (-) Transportation (95)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Big Data (53)
- Bioenergy (91)
- Biology (98)
- Biomedical (58)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (62)
- Clean Water (29)
- Climate Change (99)
- Composites (26)
- Computer Science (185)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- Fusion (53)
- Grid (62)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (51)
- ITER (7)
- Machine Learning (47)
- Materials Science (138)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- Net Zero (13)
- Neutron Science (130)
- Nuclear Energy (105)
- Partnerships (41)
- Physics (59)
- Polymers (33)
- Quantum Computing (32)
- Quantum Science (67)
- Renewable Energy (2)
- Security (24)
- Simulation (46)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (125)
- Transformational Challenge Reactor (7)
Media Contacts
![Rectangular box being lifted by a red pully system up the left side of the building](/sites/default/files/styles/list_page_thumbnail/public/2024-06/SHoP%20Architects_461%20Dean%20Street_edited%20%282%29.jpg?h=0764f6ae&itok=nOl5Tget)
Researchers at ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel.
![Man in glasses smiles for a photo](/sites/default/files/styles/list_page_thumbnail/public/2024-06/2022-P05375%20%281%29.jpg?h=8f0b2d98&itok=kAUmIREZ)
Jinghui Yuan, an R&D staff member in the Applied Research for Mobility Systems group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to a senior member of the Institute of Electrical and Electronics Engineers.
![Green, two-story house is being assembled with the help of a yellow crane.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/Live%20build.jpg?h=e6fe02d8&itok=pIv_pj6-)
Building innovations from ORNL will be on display in Washington, D.C. on the National Mall June 7 to June 9, 2024, during the U.S. Department of Housing and Urban Development’s Innovation Housing Showcase. For the first time, ORNL’s real-time building evaluator was demonstrated outside of a laboratory setting and deployed for building construction.
![People in a large convention room networking before a presentation](/sites/default/files/styles/list_page_thumbnail/public/2024-05/20240529_125451.jpg?h=19f14c2c&itok=SP4cISML)
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
![A tan and black cylinder that is made up of three long tubes vertically with a black line horizontally going across the bottom and the top. There is a piece laying on the floor that says ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/0N4A1403.jpg?h=193fc484&itok=LG0sANT8)
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
![Photo of a man in a black jacket suit with a blue shirt crossing his arms outside. He is smiling.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/2022-P00081%20%281%29.jpg?h=8f0b2d98&itok=iXfjBpJE)
Robert Wagner, associate laboratory director for ORNL's Energy Science and Technology Directorate, has been selected to receive the George Westinghouse Gold Medal from the American Society of Mechanical Engineers, or ASME. The award recognizes his work to advance state-of-the-art clean power generation systems through research on combustion, fuel technologies and controls.
![Caption: Participants gather for a group photo after discussing securing AI systems for critical national security data and applications. Photo by Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Picture1.jpg?h=1758acef&itok=hu9V4GaE)
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
![This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Mapper_Radar_20220929_1000.jpg?h=252b3bba&itok=L96QFTQW)
ORNL researchers have produced the most comprehensive power outage dataset ever compiled for the United States. This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.
![Mohamad Zineddin](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Dr%20Z.png?h=2a35d14f&itok=2ZMLdTMr)
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
![Joon-Seok Kim Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/joon-seok.jpg?h=d9b3a08b&itok=qiPgBrWQ)
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.