Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (24)
- Clean Energy (36)
- Computational Biology (1)
- Computer Science (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (33)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (99)
- Materials Characterization (1)
- Materials for Computing (9)
- Materials Under Extremes (1)
- National Security (24)
- Neutron Science (34)
- Nuclear Science and Technology (24)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (79)
News Type
News Topics
- (-) Artificial Intelligence (85)
- (-) Frontier (42)
- (-) Materials Science (102)
- (-) Microscopy (36)
- (-) Nuclear Energy (83)
- (-) Physics (55)
- (-) Security (24)
- (-) Transformational Challenge Reactor (7)
- 3-D Printing/Advanced Manufacturing (88)
- Advanced Reactors (19)
- Big Data (37)
- Bioenergy (74)
- Biology (82)
- Biomedical (48)
- Biotechnology (20)
- Buildings (38)
- Chemical Sciences (59)
- Clean Water (17)
- Climate Change (74)
- Composites (19)
- Computer Science (150)
- Coronavirus (34)
- Critical Materials (16)
- Cybersecurity (31)
- Decarbonization (67)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (73)
- Environment (141)
- Exascale Computing (41)
- Fossil Energy (5)
- Fusion (47)
- Grid (42)
- High-Performance Computing (79)
- Hydropower (5)
- Isotopes (49)
- ITER (4)
- Machine Learning (36)
- Materials (105)
- Mathematics (7)
- Mercury (9)
- Microelectronics (4)
- Molten Salt (4)
- Nanotechnology (42)
- National Security (65)
- Net Zero (11)
- Neutron Science (104)
- Partnerships (50)
- Polymers (20)
- Quantum Computing (33)
- Quantum Science (59)
- Renewable Energy (2)
- Simulation (43)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (54)
- Sustainable Energy (78)
- Transportation (52)
Media Contacts
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 11, 2019—An international collaboration including scientists at the Department of Energy’s Oak Ridge National Laboratory solved a 50-year-old puzzle that explains why beta decays of atomic nuclei
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.
OAK RIDGE, Tenn., March 1, 2019—ReactWell, LLC, has licensed a novel waste-to-fuel technology from the Department of Energy’s Oak Ridge National Laboratory to improve energy conversion methods for cleaner, more efficient oil and gas, chemical and
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
OAK RIDGE, Tenn., Feb. 8, 2019—The Department of Energy’s Oak Ridge National Laboratory has named Sean Hearne director of the Center for Nanophase Materials Sciences. The center is a DOE Office of Science User Facility that brings world-leading resources and capabilities to the nanoscience resear...
OAK RIDGE, Tenn., Jan. 31, 2019—A new electron microscopy technique that detects the subtle changes in the weight of proteins at the nanoscale—while keeping the sample intact—could open a new pathway for deeper, more comprehensive studies of the basic building blocks of life.