Artificial intelligence tools secure tomorrow’s electric grid
Filter News
Area of Research
- (-) Isotopes (2)
- (-) National Security (5)
- (-) Supercomputing (27)
- Advanced Manufacturing (2)
- Biology and Environment (21)
- Building Technologies (1)
- Clean Energy (38)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (6)
- Materials (16)
- Materials for Computing (4)
- Mathematics (1)
- Neutron Science (6)
- Nuclear Science and Technology (5)
- Quantum information Science (4)
- Sensors and Controls (1)
News Type
News Topics
- (-) Artificial Intelligence (4)
- (-) Climate Change (4)
- (-) Computer Science (24)
- (-) Fusion (2)
- (-) Grid (3)
- (-) Machine Learning (3)
- (-) Molten Salt (1)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (2)
- Big Data (6)
- Bioenergy (2)
- Biology (3)
- Biomedical (6)
- Buildings (1)
- Chemical Sciences (2)
- Coronavirus (4)
- Critical Materials (3)
- Cybersecurity (5)
- Decarbonization (1)
- Energy Storage (6)
- Environment (6)
- Exascale Computing (4)
- Frontier (4)
- High-Performance Computing (10)
- Irradiation (1)
- Isotopes (7)
- Materials (8)
- Materials Science (4)
- Microscopy (1)
- Nanotechnology (3)
- National Security (4)
- Neutron Science (2)
- Nuclear Energy (5)
- Partnerships (1)
- Physics (2)
- Polymers (2)
- Quantum Computing (5)
- Security (3)
- Simulation (4)
- Software (1)
- Space Exploration (3)
- Summit (7)
- Sustainable Energy (5)
- Transportation (3)
Media Contacts
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.