Filter News
Area of Research
- (-) Neutron Science (28)
- (-) Quantum information Science (5)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (106)
- Biology and Soft Matter (1)
- Clean Energy (72)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (10)
- Fusion Energy (1)
- Isotopes (22)
- Materials (58)
- Materials for Computing (9)
- National Security (33)
- Nuclear Science and Technology (12)
- Sensors and Controls (1)
- Supercomputing (124)
News Topics
- (-) Artificial Intelligence (5)
- (-) Bioenergy (6)
- (-) Climate Change (1)
- (-) Computer Science (15)
- (-) Environment (6)
- (-) Quantum Science (10)
- (-) Security (2)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (2)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Chemical Sciences (1)
- Clean Water (2)
- Composites (1)
- Coronavirus (8)
- Cybersecurity (2)
- Decarbonization (2)
- Energy Storage (4)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (2)
- Machine Learning (3)
- Materials (11)
- Materials Science (20)
- Mathematics (1)
- Microscopy (4)
- Nanotechnology (9)
- National Security (2)
- Neutron Science (73)
- Nuclear Energy (2)
- Physics (8)
- Polymers (1)
- Quantum Computing (1)
- Space Exploration (2)
- Sustainable Energy (3)
- Transportation (3)
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.
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.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Scientists at ORNL used neutron scattering to determine whether a specific material’s atomic structure could host a novel state of matter called a spiral spin liquid.
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
Of the $61 million recently announced by the U.S. Department of Energy for quantum information science studies, $17.5 million will fund research at DOE’s Oak Ridge National Laboratory. These projects will help build the foundation for the quantum internet, advance quantum entanglement capabilities — which involve sharing information through paired particles of light called photons — and develop next-generation quantum sensors.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.