Filter News
Area of Research
- (-) Clean Energy (31)
- (-) Supercomputing (43)
- Biology and Environment (32)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (2)
- Materials (18)
- Materials for Computing (1)
- National Security (18)
- Neutron Science (6)
- Nuclear Science and Technology (17)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (22)
- (-) Big Data (14)
- (-) Climate Change (19)
- (-) Grid (15)
- (-) Nuclear Energy (4)
- (-) Security (3)
- 3-D Printing/Advanced Manufacturing (26)
- Bioenergy (12)
- Biology (9)
- Biomedical (9)
- Biotechnology (2)
- Buildings (15)
- Chemical Sciences (4)
- Clean Water (3)
- Composites (2)
- Computer Science (49)
- Coronavirus (13)
- Critical Materials (1)
- Cybersecurity (7)
- Decarbonization (20)
- Energy Storage (24)
- Environment (30)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- High-Performance Computing (20)
- Machine Learning (7)
- Materials (9)
- Materials Science (13)
- Mathematics (2)
- Mercury (1)
- Microelectronics (1)
- Microscopy (4)
- Nanotechnology (6)
- National Security (4)
- Net Zero (2)
- Neutron Science (9)
- Partnerships (4)
- Physics (3)
- Polymers (1)
- Quantum Computing (10)
- Quantum Science (11)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (22)
- Sustainable Energy (17)
- Transportation (24)
Media Contacts
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
Isabelle Snyder calls faults as she sees them, whether it’s modeling operations for the nation’s power grid or officiating at the US Open Tennis Championships.
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.
As Puerto Rico works to restore and modernize its power grid after last year’s devastating hurricane season, researchers at Oak Ridge National Laboratory have stepped up to provide unique analysis, sensing and modeling tools to better inform decisions.
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...
As leader of the RF, Communications, and Cyber-Physical Security Group at Oak Ridge National Laboratory, Kerekes heads an accelerated lab-directed research program to build virtual models of critical infrastructure systems like the power grid that can be used to develop ways to detect and repel cyber-intrusion and to make the network resilient when disruption occurs.
For the past six years, some 140 scientists from five institutions have traveled to the Arctic Circle and beyond to gather field data as part of the Department of Energy-sponsored NGEE Arctic project. This article gives insight into how scientists gather the measurements that inform t...
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...