Filter News
Area of Research
- (-) Neutron Science (16)
- (-) Supercomputing (54)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (46)
- Clean Energy (44)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (5)
- Isotopes (7)
- Materials (35)
- Materials for Computing (4)
- National Security (26)
- Nuclear Science and Technology (16)
- Quantum information Science (4)
News Topics
- (-) Big Data (13)
- (-) Biomedical (10)
- (-) Clean Water (2)
- (-) Cybersecurity (2)
- (-) Grid (1)
- (-) Machine Learning (9)
- (-) Materials (9)
- (-) Nuclear Energy (3)
- (-) Quantum Science (10)
- (-) Security (2)
- (-) Simulation (10)
- (-) Summit (21)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (22)
- Bioenergy (5)
- Biology (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (47)
- Coronavirus (7)
- Decarbonization (4)
- Energy Storage (3)
- Environment (16)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- High-Performance Computing (20)
- Materials Science (13)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (35)
- Physics (4)
- Polymers (1)
- Quantum Computing (10)
- Software (1)
- Space Exploration (2)
- Transportation (4)
Media Contacts
Environmental conditions, lifestyle choices, chemical exposure, and foodborne and airborne pathogens are among the external factors that can cause disease. In contrast, internal genetic factors can be responsible for the onset and progression of diseases ranging from degenerative neurological disorders to some cancers.
Researchers at the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.
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.
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.
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...