Filter News
Area of Research
- (-) Clean Energy (90)
- (-) National Security (31)
- (-) Nuclear Science and Technology (40)
- (-) Supercomputing (132)
- Advanced Manufacturing (3)
- Biology and Environment (69)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Climate and Environmental Systems (3)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (99)
- Materials for Computing (13)
- Mathematics (1)
- Neutron Science (37)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (7)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (17)
- (-) Climate Change (38)
- (-) Computer Science (116)
- (-) Grid (46)
- (-) Nanotechnology (15)
- (-) Nuclear Energy (46)
- (-) Physics (10)
- (-) Renewable Energy (1)
- (-) Summit (43)
- 3-D Printing/Advanced Manufacturing (84)
- Artificial Intelligence (49)
- Big Data (27)
- Bioenergy (31)
- Biology (22)
- Biomedical (24)
- Biotechnology (7)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Composites (17)
- Coronavirus (27)
- Critical Materials (12)
- Cybersecurity (28)
- Decarbonization (36)
- Energy Storage (75)
- Environment (72)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (11)
- High-Performance Computing (41)
- Hydropower (2)
- Isotopes (6)
- Machine Learning (27)
- Materials (46)
- Materials Science (44)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (5)
- National Security (37)
- Net Zero (4)
- Neutron Science (25)
- Partnerships (15)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (26)
- Security (17)
- Simulation (16)
- Software (1)
- Space Exploration (10)
- Statistics (1)
- Sustainable Energy (71)
- Transformational Challenge Reactor (5)
- Transportation (71)
Media Contacts
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
Scientists at Oak Ridge National Laboratory have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.
Oak Ridge National Laboratory scientists are evaluating paths for licensing remotely operated microreactors, which could provide clean energy sources to hard-to-reach communities, such as isolated areas in Alaska.
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.
The unique process of accepting a new supercomputer is one of the most challenging projects a programmer may take on during a career. When the Oak Ridge Leadership Computing Facility’s (OLCF’s) Verónica Melesse Vergara came to the United States from Ecuador in 2005, she never would have dreamed of being part of such an endeavor. But just last fall, she was.
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 National Laboratory is using ultrasonic additive manufacturing to embed highly accurate fiber optic sensors in heat- and radiation-resistant materials, allowing for real-time monitoring that could lead to greater insights and safer reactors.
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.
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.