Filter News
Area of Research
- (-) Neutron Science (22)
- (-) Nuclear Science and Technology (24)
- (-) Supercomputing (52)
- Advanced Manufacturing (10)
- Biological Systems (1)
- Biology and Environment (35)
- Clean Energy (109)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (29)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (44)
- Materials for Computing (6)
- National Security (24)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (13)
- (-) Advanced Reactors (6)
- (-) Artificial Intelligence (35)
- (-) Biomedical (19)
- (-) Clean Water (2)
- (-) Grid (4)
- (-) Nuclear Energy (27)
- (-) Transportation (7)
- Big Data (15)
- Bioenergy (12)
- Biology (13)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (4)
- Climate Change (15)
- Composites (1)
- Computer Science (80)
- Coronavirus (15)
- Cybersecurity (9)
- Decarbonization (6)
- Energy Storage (10)
- Environment (21)
- Exascale Computing (19)
- Fossil Energy (1)
- Frontier (26)
- Fusion (8)
- High-Performance Computing (32)
- Isotopes (5)
- Machine Learning (14)
- Materials (22)
- Materials Science (31)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (2)
- Nanotechnology (16)
- National Security (8)
- Net Zero (1)
- Neutron Science (75)
- Partnerships (1)
- Physics (16)
- Polymers (1)
- Quantum Computing (15)
- Quantum Science (23)
- Security (6)
- Simulation (11)
- Software (1)
- Space Exploration (6)
- Summit (35)
- Sustainable Energy (9)
- Transformational Challenge Reactor (3)
Media Contacts
Processes like manufacturing aircraft parts, analyzing data from doctors’ notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energy’s Oak Ridge National Laboratory, artificial intelligence is improving all of these tasks.
Ask Tyler Gerczak to find a negative in working at the Department of Energy’s Oak Ridge National Laboratory, and his only complaint is the summer weather. It is not as forgiving as the summers in Pulaski, Wisconsin, his hometown.
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
Scientists have demonstrated a new bio-inspired material for an eco-friendly and cost-effective approach to recovering uranium from seawater.
Researchers at the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
OAK RIDGE, Tenn., March 20, 2019—Direct observations of the structure and catalytic mechanism of a prototypical kinase enzyme—protein kinase A or PKA—will provide researchers and drug developers with significantly enhanced abilities to understand and treat fatal diseases and neurological disorders such as cancer, diabetes, and cystic fibrosis.
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.