Filter News
Area of Research
- (-) National Security (10)
- (-) Nuclear Science and Technology (17)
- (-) Supercomputing (58)
- Biology and Environment (30)
- Clean Energy (36)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (2)
- Materials (32)
- Materials for Computing (7)
- Neutron Science (11)
- Quantum information Science (2)
News Topics
- (-) Computer Science (49)
- (-) Frontier (13)
- (-) Nuclear Energy (19)
- (-) Physics (4)
- (-) Sustainable Energy (3)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (4)
- Artificial Intelligence (25)
- Big Data (15)
- Bioenergy (4)
- Biology (8)
- Biomedical (7)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (15)
- Coronavirus (8)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (1)
- Environment (16)
- Exascale Computing (12)
- Fusion (6)
- Grid (4)
- High-Performance Computing (22)
- Isotopes (2)
- Machine Learning (13)
- Materials (5)
- Materials Science (11)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Partnerships (1)
- Quantum Computing (10)
- Quantum Science (11)
- Security (6)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Transformational Challenge Reactor (2)
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
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.
Scientists have demonstrated a new bio-inspired material for an eco-friendly and cost-effective approach to recovering uranium from seawater.
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.
Long-haul tractor trailers, often referred to as “18-wheelers,” transport everything from household goods to supermarket foodstuffs across the United States every year. According to the Bureau of Transportation Statistics, these trucks moved more than 10 billion tons of goods—70.6 ...
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...
When it’s up and running, the ITER fusion reactor will be very big and very hot, with more than 800 cubic meters of hydrogen plasma reaching 170 million degrees centigrade. The systems that fuel and control it, on the other hand, will be small and very cold. Pellets of frozen gas will be shot int...