Filter News
Area of Research
- (-) Neutron Science (8)
- (-) Nuclear Science and Technology (14)
- (-) Supercomputing (16)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (3)
- Clean Energy (29)
- Climate and Environmental Systems (3)
- Computational Engineering (1)
- Computer Science (5)
- Fuel Cycle Science and Technology (1)
- Fusion Energy (6)
- Materials (20)
- National Security (3)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (5)
- (-) Artificial Intelligence (7)
- (-) Bioenergy (4)
- (-) Energy Storage (4)
- (-) Environment (6)
- (-) Frontier (2)
- (-) Fusion (1)
- (-) Nuclear Energy (16)
- (-) Security (1)
- 3-D Printing/Advanced Manufacturing (2)
- Big Data (4)
- Biomedical (6)
- Clean Water (1)
- Composites (1)
- Computer Science (31)
- Critical Materials (1)
- Cybersecurity (2)
- Exascale Computing (2)
- Grid (1)
- Isotopes (2)
- Machine Learning (1)
- Materials Science (4)
- Microscopy (1)
- Molten Salt (3)
- Nanotechnology (2)
- Neutron Science (22)
- Physics (5)
- Polymers (1)
- Quantum Science (6)
- Space Exploration (4)
- Summit (11)
- Sustainable Energy (2)
- Transportation (3)
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.
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.
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.
Researchers used neutron scattering at Oak Ridge National Laboratory’s Spallation Neutron Source to investigate the effectiveness of a novel crystallization method to capture carbon dioxide directly from the air.
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).
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
A University of South Carolina research team is investigating the oxygen reduction performance of energy conversion materials called perovskites by using neutron diffraction at Oak Ridge National Laboratory’s Spallation Neutron Source.