Filter News
Area of Research
- (-) Clean Energy (136)
- (-) Computational Engineering (3)
- Advanced Manufacturing (8)
- Biology and Environment (59)
- Building Technologies (2)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (16)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (3)
- Isotopes (1)
- Materials (56)
- Materials for Computing (14)
- Mathematics (1)
- National Security (36)
- Neutron Science (19)
- Nuclear Science and Technology (6)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (116)
News Topics
- (-) Artificial Intelligence (9)
- (-) Composites (17)
- (-) Computer Science (27)
- (-) Grid (40)
- (-) Machine Learning (8)
- (-) Polymers (11)
- (-) Sustainable Energy (69)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (78)
- Advanced Reactors (6)
- Big Data (6)
- Bioenergy (26)
- Biology (11)
- Biomedical (7)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (21)
- Coronavirus (12)
- Critical Materials (9)
- Cybersecurity (8)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (1)
- High-Performance Computing (7)
- Hydropower (2)
- Isotopes (1)
- Materials (35)
- Materials Science (26)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Net Zero (3)
- Neutron Science (11)
- Nuclear Energy (7)
- Partnerships (12)
- Physics (1)
- Quantum Science (2)
- Renewable Energy (1)
- Security (6)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Summit (5)
- Transportation (65)
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.
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.
As Puerto Rico works to restore and modernize its power grid after last year’s devastating hurricane season, researchers at Oak Ridge National Laboratory have stepped up to provide unique analysis, sensing and modeling tools to better inform decisions.
Oak Ridge National Laboratory scientists have devised a method to control the heating and cooling systems of a large network of buildings for power grid stability—all while ensuring the comfort of occupants.
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...
The U.S. Department of Energy’s Oak Ridge National Laboratory today unveiled Summit as the world’s most powerful and smartest scientific supercomputer.
A new manufacturing method created by Oak Ridge National Laboratory and Rice University combines 3D printing with traditional casting to produce damage-tolerant components composed of multiple materials. Composite components made by pouring an aluminum alloy over a printed steel lattice showed an order of magnitude greater damage tolerance than aluminum alone.
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...