Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (14)
- Building Technologies (1)
- Clean Energy (79)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (2)
- Isotopes (2)
- Materials (32)
- Materials for Computing (7)
- Mathematics (1)
- National Security (8)
- Neutron Science (6)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (22)
- Transportation Systems (2)
News Type
News Topics
- (-) Composites (11)
- (-) Computer Science (53)
- (-) Energy Storage (45)
- (-) Machine Learning (16)
- (-) Microscopy (20)
- (-) Nanotechnology (18)
- (-) Polymers (14)
- (-) Security (7)
- (-) Space Exploration (10)
- (-) Transportation (47)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (15)
- Artificial Intelligence (17)
- Big Data (23)
- Bioenergy (33)
- Biology (39)
- Biomedical (19)
- Biotechnology (7)
- Buildings (28)
- Chemical Sciences (19)
- Clean Water (19)
- Climate Change (37)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (24)
- Environment (80)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- Fusion (16)
- Grid (28)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (15)
- ITER (4)
- Materials (42)
- Materials Science (46)
- Mathematics (6)
- Mercury (7)
- Molten Salt (5)
- National Security (19)
- Net Zero (4)
- Neutron Science (35)
- Nuclear Energy (34)
- Partnerships (1)
- Physics (20)
- Quantum Computing (5)
- Quantum Science (12)
- Simulation (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (58)
Media Contacts
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.
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.
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.
A University of South Carolina research team is investigating the oxygen reduction performance of energy conversion materials called perovskites by using neutron diffraction at Oak Ridge National Laboratory’s Spallation Neutron Source.
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.
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.
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.
A team of scientists, led by University of Guelph professor John Dutcher, are using neutrons at ORNL’s Spallation Neutron Source to unlock the secrets of natural nanoparticles that could be used to improve medicines.