Filter News
Area of Research
- Advanced Manufacturing (8)
- Biological Systems (1)
- Biology and Environment (2)
- Building Technologies (1)
- Clean Energy (34)
- Fuel Cycle Science and Technology (1)
- Fusion Energy (4)
- Materials (30)
- National Security (2)
- Neutron Science (24)
- Nuclear Science and Technology (14)
- Quantum information Science (1)
- Supercomputing (11)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (20)
- (-) Bioenergy (11)
- (-) Biomedical (9)
- (-) Energy Storage (10)
- (-) Grid (8)
- (-) Neutron Science (26)
- (-) Nuclear Energy (27)
- (-) Space Exploration (6)
- Advanced Reactors (8)
- Artificial Intelligence (13)
- Big Data (8)
- Biology (1)
- Biotechnology (1)
- Clean Water (6)
- Climate Change (1)
- Composites (5)
- Computer Science (49)
- Critical Materials (1)
- Cybersecurity (8)
- Environment (22)
- Exascale Computing (2)
- Frontier (2)
- Fusion (9)
- Isotopes (7)
- Machine Learning (5)
- Materials Science (30)
- Mercury (2)
- Microscopy (10)
- Molten Salt (5)
- Nanotechnology (15)
- Physics (15)
- Polymers (7)
- Quantum Science (13)
- Security (9)
- Summit (11)
- Sustainable Energy (8)
- Transportation (19)
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.
A novel additive manufacturing method developed by researchers at Oak Ridge National Laboratory could be a promising alternative for low-cost, high-quality production of large-scale metal parts with less material waste.
In a step toward advancing small modular nuclear reactor designs, scientists at Oak Ridge National Laboratory have run reactor simulations on ORNL supercomputer Summit with greater-than-expected computational efficiency.
When Scott Smith looks at a machine tool, he thinks not about what the powerful equipment used to shape metal can do – he’s imagining what it could do with the right added parts and strategies. As ORNL’s leader for a newly formed group, Machining and Machine Tool Research, Smith will have the opportunity to do just that.
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.
Kevin Field at the Department of Energy’s Oak Ridge National Laboratory synthesizes and scrutinizes materials for nuclear power systems that must perform safely and efficiently over decades of irradiation.