Filter News
Area of Research
- (-) Advanced Manufacturing (2)
- (-) Fusion Energy (6)
- (-) Supercomputing (16)
- Biology and Environment (7)
- Building Technologies (1)
- Clean Energy (45)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (10)
- Materials for Computing (2)
- Mathematics (1)
- National Security (4)
- Neutron Science (2)
- Nuclear Science and Technology (3)
- Quantum information Science (3)
- Sensors and Controls (1)
- Transportation Systems (2)
News Topics
- (-) Computer Science (17)
- (-) Fusion (6)
- (-) Machine Learning (1)
- (-) Space Exploration (2)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (7)
- Artificial Intelligence (1)
- Big Data (4)
- Biology (1)
- Biomedical (4)
- Chemical Sciences (1)
- Climate Change (2)
- Composites (3)
- Coronavirus (2)
- Critical Materials (3)
- Energy Storage (1)
- Environment (4)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (3)
- Materials (5)
- Materials Science (6)
- Nanotechnology (1)
- Nuclear Energy (6)
- Polymers (2)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (1)
- Summit (6)
- Sustainable Energy (4)
Media Contacts
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
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.