Filter News
Area of Research
- (-) Clean Energy (20)
- (-) Neutron Science (4)
- Advanced Manufacturing (3)
- Biology and Environment (6)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (2)
- Isotopes (2)
- Materials (6)
- Materials for Computing (5)
- Mathematics (1)
- National Security (1)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (4)
News Topics
- (-) Composites (4)
- (-) Environment (11)
- (-) Microscopy (2)
- (-) Nanotechnology (1)
- (-) Net Zero (1)
- (-) Polymers (2)
- (-) Quantum Science (1)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (14)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (1)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (4)
- Clean Water (3)
- Climate Change (2)
- Computer Science (7)
- Critical Materials (2)
- Decarbonization (1)
- Energy Storage (8)
- Grid (5)
- High-Performance Computing (1)
- Materials (11)
- Materials Science (7)
- Mathematics (1)
- Neutron Science (11)
- Nuclear Energy (1)
- Physics (1)
- Statistics (1)
- Sustainable Energy (17)
- Transportation (12)
Media Contacts
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
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.
![Nuclear—Deep space travel Nuclear—Deep space travel](/sites/default/files/styles/list_page_thumbnail/public/Screen%20Shot%202018-12-19%20at%2010.29.32%20AM.png?itok=hq0dlVIf)
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.
![Picture2.png Picture2.png](/sites/default/files/styles/list_page_thumbnail/public/Picture2_1.png?itok=IV4n9XEh)
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.
![18-G01703 PinchPoint-v2.jpg 18-G01703 PinchPoint-v2.jpg](/sites/default/files/styles/list_page_thumbnail/public/18-G01703%20PinchPoint-v2.jpg?itok=paJUPDI1)
Researchers used neutron scattering at Oak Ridge National Laboratory’s Spallation Neutron Source to investigate bizarre magnetic behavior, believed to be a possible quantum spin liquid rarely found in a three-dimensional material. QSLs are exotic states of matter where magnetism continues to fluctuate at low temperatures instead of “freezing” into aligned north and south poles as with traditional magnets.