Filter News
Area of Research
- (-) Materials (22)
- (-) Supercomputing (44)
- Advanced Manufacturing (3)
- Biology and Environment (13)
- Clean Energy (44)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Isotopes (1)
- Materials for Computing (4)
- National Security (16)
- Neutron Science (11)
- Nuclear Science and Technology (3)
- Quantum information Science (4)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Artificial Intelligence (21)
- (-) Big Data (13)
- (-) Cybersecurity (2)
- (-) Grid (3)
- (-) Materials Science (20)
- (-) Quantum Science (10)
- Advanced Reactors (1)
- Bioenergy (5)
- Biology (6)
- Biomedical (8)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (7)
- Clean Water (2)
- Climate Change (12)
- Composites (2)
- Computer Science (47)
- Coronavirus (7)
- Decarbonization (4)
- Energy Storage (7)
- Environment (18)
- Exascale Computing (12)
- Frontier (13)
- Fusion (2)
- High-Performance Computing (20)
- Isotopes (6)
- Machine Learning (7)
- Materials (21)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Neutron Science (14)
- Nuclear Energy (11)
- Partnerships (3)
- Physics (13)
- Polymers (4)
- Quantum Computing (11)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Sustainable Energy (5)
- Transformational Challenge Reactor (2)
- Transportation (7)
Media Contacts
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
In the shifting landscape of global manufacturing, American ingenuity is once again giving U.S companies an edge with radical productivity improvements as a result of advanced materials and robotic systems developed at the Department of Energy’s Manufacturing Demonstration Facility (MDF) at Oak Ridge National Laboratory.
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.
Carbon fiber composites—lightweight and strong—are great structural materials for automobiles, aircraft and other transportation vehicles. They consist of a polymer matrix, such as epoxy, into which reinforcing carbon fibers have been embedded. Because of differences in the mecha...
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 ...
A tiny vial of gray powder produced at the Department of Energy’s Oak Ridge National Laboratory is the backbone of a new experiment to study the intense magnetic fields created in nuclear collisions.
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...
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...