Filter News
Area of Research
- (-) Supercomputing (56)
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (27)
- Clean Energy (62)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Isotopes (6)
- Materials (41)
- Materials Characterization (1)
- Materials for Computing (8)
- Materials Under Extremes (1)
- National Security (17)
- Neutron Science (20)
- Nuclear Science and Technology (5)
- Quantum information Science (5)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Big Data (14)
- (-) Biomedical (8)
- (-) Cybersecurity (4)
- (-) Frontier (16)
- (-) Grid (2)
- (-) Materials Science (11)
- (-) Quantum Science (11)
- (-) Space Exploration (2)
- Artificial Intelligence (24)
- Bioenergy (4)
- Biology (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (13)
- Computer Science (52)
- Coronavirus (8)
- Decarbonization (4)
- Energy Storage (4)
- Environment (14)
- Exascale Computing (14)
- High-Performance Computing (26)
- Isotopes (1)
- Machine Learning (9)
- Materials (9)
- Mathematics (1)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (4)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (2)
- Physics (4)
- Quantum Computing (11)
- Security (2)
- Simulation (12)
- Software (1)
- Summit (22)
- Sustainable Energy (6)
- Transportation (4)
Media Contacts
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.
The type of vehicle that will carry people to the Red Planet is shaping up to be “like a two-story house you’re trying to land on another planet.
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
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...