Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (98)
- Biology and Soft Matter (1)
- Clean Energy (54)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (30)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (23)
- Materials (55)
- Materials for Computing (5)
- National Security (26)
- Neutron Science (21)
- Nuclear Science and Technology (24)
- Quantum information Science (2)
- Supercomputing (86)
News Type
News Topics
- (-) Advanced Reactors (18)
- (-) Artificial Intelligence (75)
- (-) Biomedical (45)
- (-) Climate Change (70)
- (-) Environment (137)
- (-) Frontier (38)
- (-) Isotopes (45)
- (-) Microscopy (36)
- (-) Nuclear Energy (80)
- 3-D Printing/Advanced Manufacturing (81)
- Big Data (30)
- Bioenergy (74)
- Biology (80)
- Biotechnology (18)
- Buildings (31)
- Chemical Sciences (51)
- Clean Water (15)
- Composites (15)
- Computer Science (139)
- Coronavirus (34)
- Critical Materials (13)
- Cybersecurity (31)
- Decarbonization (64)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Exascale Computing (34)
- Fossil Energy (5)
- Fusion (43)
- Grid (38)
- High-Performance Computing (69)
- Hydropower (5)
- ITER (4)
- Machine Learning (35)
- Materials (100)
- Materials Science (94)
- Mathematics (6)
- Mercury (9)
- Microelectronics (3)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (53)
- Net Zero (11)
- Neutron Science (96)
- Partnerships (43)
- Physics (52)
- Polymers (20)
- Quantum Computing (29)
- Quantum Science (56)
- Renewable Energy (2)
- Security (22)
- Simulation (38)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Sustainable Energy (74)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
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
Six new nuclear reactor technologies are set to deploy for commercial use between 2030 and 2040. Called Generation IV nuclear reactors, they will operate with improved performance at dramatically higher temperatures than today’s reactors.
Electro-Active Technologies, Inc., of Knoxville, Tenn., has exclusively licensed two biorefinery technologies invented and patented by the startup’s co-founders while working at the Department of Energy’s Oak Ridge National Laboratory. The technologies work as a system that converts organic waste into renewable hydrogen gas for use as a biofuel.
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
Scientists have demonstrated a new bio-inspired material for an eco-friendly and cost-effective approach to recovering uranium from seawater.
OAK RIDGE, Tenn., May 7, 2019—The U.S. Department of Energy today announced a contract with Cray Inc. to build the Frontier supercomputer at Oak Ridge National Laboratory, which is anticipated to debut in 2021 as the world’s most powerful computer with a performance of greater than 1.5 exaflops.
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.