Filter News
Area of Research
- Advanced Manufacturing (7)
- Biology and Environment (62)
- Clean Energy (82)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (4)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (7)
- Fusion Energy (7)
- Isotopes (4)
- Materials (66)
- Materials for Computing (14)
- National Security (33)
- Neutron Science (23)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (46)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (22)
- (-) Artificial Intelligence (62)
- (-) Biology (79)
- (-) Composites (18)
- (-) Materials Science (90)
- (-) Nanotechnology (32)
- (-) National Security (48)
- (-) Polymers (20)
- (-) Security (13)
- (-) Space Exploration (22)
- (-) Transportation (67)
- 3-D Printing/Advanced Manufacturing (77)
- Big Data (47)
- Bioenergy (68)
- Biomedical (41)
- Biotechnology (16)
- Buildings (44)
- Chemical Sciences (40)
- Clean Water (28)
- Climate Change (78)
- Computer Science (132)
- Coronavirus (29)
- Critical Materials (18)
- Cybersecurity (17)
- Decarbonization (59)
- Education (1)
- Emergency (2)
- Energy Storage (67)
- Environment (155)
- Exascale Computing (28)
- Fossil Energy (5)
- Frontier (27)
- Fusion (42)
- Grid (48)
- High-Performance Computing (56)
- Hydropower (11)
- Irradiation (2)
- Isotopes (34)
- ITER (5)
- Machine Learning (34)
- Materials (80)
- Mathematics (9)
- Mercury (10)
- Microelectronics (3)
- Microscopy (34)
- Molten Salt (6)
- Net Zero (10)
- Neutron Science (79)
- Nuclear Energy (80)
- Partnerships (20)
- Physics (39)
- Quantum Computing (25)
- Quantum Science (42)
- Renewable Energy (1)
- Simulation (39)
- Software (1)
- Statistics (2)
- Summit (37)
- Sustainable Energy (95)
- Transformational Challenge Reactor (3)
Media Contacts
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
Kevin Field at the Department of Energy’s Oak Ridge National Laboratory synthesizes and scrutinizes materials for nuclear power systems that must perform safely and efficiently over decades of irradiation.
Oak Ridge National Laboratory’s latest Transportation Energy Data Book: Edition 37 reports that the number of vehicles nationwide is growing faster than the population, with sales more than 17 million since 2015, and the average household vehicle travels more than 11,000 miles per year.
Vera Bocharova at the Department of Energy’s Oak Ridge National Laboratory investigates the structure and dynamics of soft materials—polymer nanocomposites, polymer electrolytes and biological macromolecules—to advance materials and technologies for energy, medicine and other applications.
Scientists have tested a novel heat-shielding graphite foam, originally created at Oak Ridge National Laboratory, at Germany’s Wendelstein 7-X stellarator with promising results for use in plasma-facing components of fusion reactors.
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 National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
Jon Poplawsky, a materials scientist at the Department of Energy’s Oak Ridge National Laboratory, develops and links advanced characterization techniques that improve our ability to see and understand atomic-scale features of diverse materials
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.
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.