Filter News
Area of Research
- (-) Biology and Environment (1)
- (-) Clean Energy (20)
- (-) National Security (4)
- (-) Nuclear Science and Technology (1)
- (-) Supercomputing (27)
- Advanced Manufacturing (2)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (8)
- Fusion Energy (5)
- Materials (18)
- Neutron Science (21)
- Quantum information Science (3)
News Topics
- (-) Big Data (5)
- (-) Computer Science (27)
- (-) Cybersecurity (3)
- (-) Environment (13)
- (-) Fusion (1)
- (-) Grid (4)
- (-) Machine Learning (1)
- (-) Microscopy (1)
- (-) Neutron Science (2)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (12)
- Advanced Reactors (4)
- Artificial Intelligence (7)
- Bioenergy (7)
- Biomedical (3)
- Biotechnology (1)
- Clean Water (4)
- Composites (2)
- Energy Storage (5)
- Exascale Computing (2)
- Frontier (2)
- Materials Science (6)
- Mercury (1)
- Nanotechnology (2)
- Nuclear Energy (11)
- Physics (1)
- Polymers (1)
- Security (2)
- Space Exploration (4)
- Summit (9)
- Sustainable Energy (8)
- Transportation (10)
Media Contacts
![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.
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).
![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.
![Supercomputing-Memory_boost1.jpg Supercomputing-Memory_boost1.jpg](/sites/default/files/styles/list_page_thumbnail/public/Supercomputing-Memory_boost1.jpg?itok=dDR8CnYC)
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
![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.
![Joseph Lukens, Raphael Pooser, and Nick Peters (from left) of ORNL’s Quantum Information Science Group developed and tested a new interferometer made from highly nonlinear fiber in pursuit of improved sensitivity at the quantum scale. Credit: Carlos Jones](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P09674%5B4%5D.jpg?h=1d98ccbd&itok=ztuyXqpm)
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.