Filter News
Area of Research
- (-) Clean Energy (12)
- (-) Nuclear Science and Technology (2)
- (-) Supercomputing (26)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (8)
- Materials (6)
- National Security (2)
- Neutron Science (4)
- Quantum information Science (3)
News Topics
- (-) Biomedical (3)
- (-) Computer Science (28)
- (-) Cybersecurity (3)
- (-) Mercury (2)
- (-) Polymers (1)
- (-) Space Exploration (4)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (4)
- Artificial Intelligence (7)
- Big Data (5)
- Bioenergy (7)
- Biotechnology (1)
- Clean Water (4)
- Composites (3)
- Energy Storage (5)
- Environment (14)
- Exascale Computing (2)
- Frontier (2)
- Fusion (1)
- Grid (3)
- Machine Learning (1)
- Materials Science (6)
- Microscopy (1)
- Nanotechnology (2)
- Neutron Science (4)
- Nuclear Energy (11)
- Physics (2)
- Quantum Science (4)
- Security (2)
- Summit (9)
- Sustainable Energy (8)
- Transportation (11)
Media Contacts
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.
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.
The unique process of accepting a new supercomputer is one of the most challenging projects a programmer may take on during a career. When the Oak Ridge Leadership Computing Facility’s (OLCF’s) Verónica Melesse Vergara came to the United States from Ecuador in 2005, she never would have dreamed of being part of such an endeavor. But just last fall, she was.
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
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).
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.
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.