Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (49)
- Biology and Soft Matter (1)
- Clean Energy (37)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Energy Frontier Research Centers (1)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotopes (2)
- Materials (40)
- Materials for Computing (7)
- National Security (24)
- Neutron Science (20)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (82)
News Type
News Topics
- (-) Advanced Reactors (18)
- (-) Artificial Intelligence (84)
- (-) Climate Change (74)
- (-) Nanotechnology (42)
- (-) Security (23)
- (-) Summit (52)
- 3-D Printing/Advanced Manufacturing (88)
- Big Data (36)
- Bioenergy (74)
- Biology (82)
- Biomedical (48)
- Biotechnology (20)
- Buildings (38)
- Chemical Sciences (59)
- Clean Water (17)
- Composites (19)
- Computer Science (149)
- Coronavirus (34)
- Critical Materials (16)
- Cybersecurity (31)
- Decarbonization (67)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (73)
- Environment (141)
- Exascale Computing (39)
- Fossil Energy (5)
- Frontier (41)
- Fusion (46)
- Grid (41)
- High-Performance Computing (78)
- Hydropower (5)
- Isotopes (49)
- ITER (4)
- Machine Learning (36)
- Materials (103)
- Materials Science (99)
- Mathematics (7)
- Mercury (9)
- Microelectronics (4)
- Microscopy (36)
- Molten Salt (4)
- National Security (64)
- Net Zero (11)
- Neutron Science (102)
- Nuclear Energy (83)
- Partnerships (50)
- Physics (55)
- Polymers (20)
- Quantum Computing (32)
- Quantum Science (59)
- Renewable Energy (2)
- Simulation (42)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Sustainable Energy (78)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
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.
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.
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.
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.