Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (36)
- Biology and Soft Matter (1)
- Clean Energy (72)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (6)
- Materials (21)
- Materials for Computing (3)
- National Security (19)
- Neutron Science (12)
- Nuclear Science and Technology (5)
- Supercomputing (37)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (39)
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (46)
- (-) Clean Water (14)
- (-) Climate Change (50)
- (-) Cybersecurity (14)
- (-) Energy Storage (29)
- (-) Grid (23)
- (-) Security (11)
- (-) Transportation (27)
- Big Data (24)
- Bioenergy (51)
- Biology (59)
- Biomedical (28)
- Biotechnology (11)
- Buildings (19)
- Chemical Sciences (24)
- Composites (6)
- Computer Science (83)
- Coronavirus (17)
- Critical Materials (2)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Environment (104)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (24)
- Fusion (31)
- High-Performance Computing (44)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (45)
- Mathematics (6)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (36)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (55)
- Partnerships (16)
- Physics (28)
- Polymers (8)
- Quantum Computing (20)
- Quantum Science (30)
- Renewable Energy (1)
- Simulation (31)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (30)
- Sustainable Energy (44)
- Transformational Challenge Reactor (3)
Media Contacts
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
Participants in the SM2ART Research Experience for Undergraduates program got the chance to see what life is like in a research setting. REU participant Brianna Greer studied banana fibers as a reinforcing material in making lightweight parts for cars and bicycles.
ORNL's Guang Yang and Andrew Westover have been selected to join the first cohort of DOE’s Advanced Research Projects Agency-Energy Inspiring Generations of New Innovators to Impact Technologies in Energy 2024 program. The program supports early career scientists and engineers in their work to convert disruptive ideas into impactful energy technologies.
Advanced materials research to enable energy-efficient, cost-competitive and environmentally friendly technologies for the United States and Japan is the goal of a memorandum of understanding, or MOU, between the Department of Energy’s Oak Ridge National Laboratory and Japan’s National Institute of Materials Science.
Researchers at ORNL have developed the first additive manufacturing slicing computer application to simultaneously speed and simplify digital conversion of accurate, large-format three-dimensional parts in a factory production setting.
Prasanna Balaprakash, a national leader in artificial intelligence, or AI, spoke to some of the highest achieving students in the country at the National Science Bowl in Washington D.C.
When Oak Ridge National Laboratory's science mission takes staff off-campus, the lab’s safety principles follow. That’s true even in the high mountain passes of Washington and Oregon, where ORNL scientists are tracking a tree species — and where wildfires have become more frequent and widespread.
ORNL researchers and communications specialists took part in the inaugural AI Expo for National Competitiveness in Washington D.C, May 7 and 8, to showcase and provide insight into how the lab is leading the way for utilizing the vast possibilities of AI.
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.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.