Filter News
Area of Research
- (-) Computer Science (7)
- (-) Neutron Science (25)
- Advanced Manufacturing (2)
- Biology and Environment (99)
- Biology and Soft Matter (1)
- Clean Energy (96)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (2)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (8)
- Materials (51)
- Materials for Computing (2)
- National Security (27)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (68)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (1)
- (-) Biology (5)
- (-) Decarbonization (2)
- (-) Grid (2)
- (-) Machine Learning (6)
- (-) Physics (9)
- (-) Summit (7)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (6)
- Biomedical (11)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Computer Science (26)
- Coronavirus (8)
- Cybersecurity (2)
- Energy Storage (8)
- Environment (9)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Materials (14)
- Materials Science (24)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (99)
- Nuclear Energy (3)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (9)
- Security (2)
- Space Exploration (3)
- Sustainable Energy (4)
- Transportation (5)
Media Contacts
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Few things carry the same aura of mystery as dark matter. The name itself radiates secrecy, suggesting something hidden in the shadows of the Universe.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.
Natural gas furnaces not only heat your home, they also produce a lot of pollution. Even modern high-efficiency condensing furnaces produce significant amounts of corrosive acidic condensation and unhealthy levels of nitrogen oxides
Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.
Researchers at ORNL have developed a new method for producing a key component of lithium-ion batteries. The result is a more affordable battery from a faster, less wasteful process that uses less toxic material.
To solve a long-standing puzzle about how long a neutron can “live” outside an atomic nucleus, physicists entertained a wild but testable theory positing the existence of a right-handed version of our left-handed universe.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.