Filter News
Area of Research
- (-) Supercomputing (23)
- Advanced Manufacturing (2)
- Biology and Environment (21)
- Clean Energy (28)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (1)
- Isotopes (1)
- Materials (31)
- Materials for Computing (5)
- National Security (9)
- Neutron Science (7)
- Nuclear Science and Technology (8)
- Quantum information Science (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Big Data (9)
- (-) Bioenergy (2)
- (-) Frontier (4)
- (-) Materials Science (9)
- (-) Physics (2)
- Artificial Intelligence (9)
- Biology (4)
- Biomedical (5)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (4)
- Computer Science (26)
- Coronavirus (7)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (2)
- Environment (4)
- Exascale Computing (4)
- Grid (2)
- High-Performance Computing (8)
- Isotopes (1)
- Machine Learning (6)
- Materials (8)
- Mathematics (1)
- Microscopy (1)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (2)
- Neutron Science (5)
- Quantum Computing (5)
- Quantum Science (8)
- Security (1)
- Simulation (4)
- Space Exploration (1)
- Summit (10)
- Sustainable Energy (3)
- Transportation (1)
Media Contacts
![ORNL-developed cryogenic memory cell circuit designs fabricated onto these small chips by SeeQC, a superconducting technology company, successfully demonstrated read, write and reset memory functions. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-01/2019-P17636.png?h=39b94f55&itok=udTwXJwT)
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.
![ADIOS logo](/sites/default/files/styles/list_page_thumbnail/public/2020-01/adioslogo.png?h=e3ff4d16&itok=R5lbFzkO)
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
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...