Filter News
Area of Research
- (-) Isotopes (1)
- (-) Nuclear Science and Technology (8)
- (-) Supercomputing (15)
- Advanced Manufacturing (2)
- Biology and Environment (16)
- Clean Energy (27)
- Fusion and Fission (12)
- Fusion Energy (1)
- Materials (26)
- Materials for Computing (6)
- National Security (3)
- Neutron Science (11)
- Quantum information Science (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Big Data (6)
- (-) Frontier (1)
- (-) Fusion (6)
- (-) Materials Science (8)
- (-) Physics (4)
- Advanced Reactors (4)
- Artificial Intelligence (6)
- Biology (2)
- Biomedical (6)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (3)
- Computer Science (29)
- Coronavirus (6)
- Cybersecurity (3)
- Energy Storage (3)
- Environment (6)
- Exascale Computing (2)
- Grid (1)
- High-Performance Computing (8)
- Isotopes (11)
- Machine Learning (3)
- Materials (3)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (4)
- National Security (2)
- Neutron Science (7)
- Nuclear Energy (15)
- Quantum Computing (2)
- Quantum Science (6)
- Security (1)
- Space Exploration (2)
- Summit (7)
- Sustainable Energy (2)
- Transformational Challenge Reactor (2)
- Transportation (2)
Media Contacts
The techniques Theodore Biewer and his colleagues are using to measure whether plasma has the right conditions to create fusion have been around awhile.
We have a data problem. Humanity is now generating more data than it can handle; more sensors, smartphones, and devices of all types are coming online every day and contributing to the ever-growing global dataset.
Scientists at have experimentally demonstrated a novel cryogenic, or low temperature, memory cell circuit design based on coupled arrays of Josephson junctions, a technology that may be faster and more energy efficient than existing memory devices.
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.