Filter News
Area of Research
- (-) Clean Energy (10)
- (-) Materials (7)
- (-) National Security (1)
- (-) Supercomputing (6)
- Advanced Manufacturing (1)
- Biology and Environment (5)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion Energy (3)
- Neutron Science (13)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
News Topics
- (-) Big Data (3)
- (-) Clean Water (2)
- (-) Environment (8)
- (-) Fusion (2)
- (-) Grid (5)
- (-) Neutron Science (4)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (9)
- Advanced Reactors (2)
- Buildings (4)
- Chemical Sciences (3)
- Climate Change (1)
- Composites (2)
- Computer Science (11)
- Critical Materials (3)
- Decarbonization (2)
- Energy Storage (7)
- Hydropower (1)
- Materials (4)
- Materials Science (10)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (3)
- Nuclear Energy (4)
- Physics (1)
- Polymers (2)
- Quantum Computing (3)
- Quantum Science (2)
- Simulation (1)
- Space Exploration (2)
- Sustainable Energy (4)
- Transportation (11)
Media Contacts
![An ORNL-developed graphite foam, which could be used in plasma-facing components in fusion reactors, performed well during testing at the Wendlestein 7-X stellarator in Germany.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/W7-XPlasmaExposure_0.jpg?h=d5d04e3b&itok=uKiauhdF)
Scientists have tested a novel heat-shielding graphite foam, originally created at Oak Ridge National Laboratory, at Germany’s Wendelstein 7-X stellarator with promising results for use in plasma-facing components of fusion reactors.
![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.