Filter News
Area of Research
- (-) Clean Energy (14)
- (-) Fusion Energy (7)
- (-) National Security (4)
- Advanced Manufacturing (1)
- Biology and Environment (3)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (8)
- Fusion and Fission (1)
- Materials (13)
- Neutron Science (6)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Supercomputing (38)
News Type
News Topics
- (-) Advanced Reactors (7)
- (-) Computer Science (15)
- (-) Microscopy (3)
- (-) Quantum Science (1)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (17)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (6)
- Biomedical (2)
- Biotechnology (1)
- Clean Water (4)
- Climate Change (3)
- Composites (1)
- Coronavirus (7)
- Cybersecurity (2)
- Energy Storage (16)
- Environment (17)
- Frontier (1)
- Fusion (7)
- Grid (9)
- Machine Learning (3)
- Materials Science (12)
- Mathematics (1)
- Mercury (1)
- Nanotechnology (3)
- Neutron Science (1)
- Nuclear Energy (9)
- Polymers (2)
- Security (2)
- Space Exploration (1)
- Sustainable Energy (14)
- Transportation (17)
Media Contacts
![ORNL staff members (from left) Ashley Shields, Michael Galloway, Ketan Maheshwari and Andrew Miskowiec are collaborating on a project focused on predicting and analyzing crystal structures of new uranium oxide phases. Credit: Jason Richards/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-03/teamphotoforhighlight_0.jpg?h=a00326b7&itok=O4yDtVj6)
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.
![Laminations such as these are compiled to form the core of modern electric vehicle motors. ORNL has developed a software toolkit to speed the development of new motor designs and to improve the accuracy of their real-world performance.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/Motors_OeRSTED_0.jpg?h=af53702d&itok=mT24R4WI)
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
![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.
![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.