Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
Filter News
Area of Research
- (-) National Security (4)
- (-) Supercomputing (21)
- Advanced Manufacturing (1)
- Biology and Environment (11)
- Clean Energy (14)
- Fusion and Fission (5)
- Fusion Energy (5)
- Isotopes (3)
- Materials (25)
- Materials for Computing (3)
- Neutron Science (25)
- Nuclear Science and Technology (21)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) Biomedical (8)
- (-) Exascale Computing (2)
- (-) Fusion (1)
- (-) Microscopy (2)
- (-) Nanotechnology (4)
- (-) Neutron Science (9)
- (-) Nuclear Energy (2)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (6)
- Big Data (8)
- Bioenergy (3)
- Biology (1)
- Chemical Sciences (1)
- Climate Change (1)
- Computer Science (31)
- Coronavirus (9)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (2)
- Environment (4)
- Frontier (1)
- Grid (3)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (4)
- Materials (2)
- Materials Science (8)
- Mathematics (1)
- Molten Salt (1)
- National Security (2)
- Physics (2)
- Polymers (1)
- Quantum Science (8)
- Security (3)
- Summit (13)
- Sustainable Energy (5)
- Transportation (2)
Media Contacts
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
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.