Filter News
Area of Research
- Advanced Manufacturing (1)
- Building Technologies (1)
- Clean Energy (28)
- Climate and Environmental Systems (1)
- Computational Engineering (3)
- Computer Science (11)
- Electricity and Smart Grid (1)
- Materials (9)
- Materials for Computing (2)
- Mathematics (1)
- National Security (3)
- Neutron Science (4)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (21)
- Transportation Systems (2)
News Type
News Topics
- (-) Computer Science (39)
- (-) Grid (13)
- (-) Molten Salt (1)
- (-) Physics (5)
- (-) Transportation (21)
- 3-D Printing/Advanced Manufacturing (29)
- Advanced Reactors (7)
- Artificial Intelligence (11)
- Big Data (8)
- Bioenergy (9)
- Biology (9)
- Biomedical (7)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (5)
- Clean Water (8)
- Climate Change (8)
- Composites (8)
- Coronavirus (7)
- Critical Materials (4)
- Cybersecurity (9)
- Decarbonization (2)
- Energy Storage (19)
- Environment (26)
- Exascale Computing (1)
- Frontier (5)
- Fusion (12)
- High-Performance Computing (10)
- Isotopes (7)
- ITER (3)
- Machine Learning (5)
- Materials (27)
- Materials Science (31)
- Mathematics (1)
- Microscopy (10)
- Nanotechnology (11)
- National Security (3)
- Net Zero (1)
- Neutron Science (24)
- Nuclear Energy (12)
- Polymers (5)
- Quantum Computing (4)
- Quantum Science (16)
- Security (3)
- Space Exploration (6)
- Statistics (1)
- Summit (10)
- Sustainable Energy (33)
Media Contacts
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
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.
Oak Ridge National Laboratory scientists analyzed more than 50 years of data showing puzzlingly inconsistent trends about corrosion of structural alloys in molten salts and found one factor mattered most—salt purity.
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
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.
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.
Through a network that consists of hundreds of low-cost monitors that plug into standard 110-volt outlets, GridEye can play a role in ensuring the reliability of the nation's power grids. The system, developed by researchers at Oak Ridge National Laboratory, provides real-time information about dyna...