Filter News
Area of Research
- (-) Neutron Science (30)
- (-) Quantum information Science (9)
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (82)
- Building Technologies (1)
- Clean Energy (103)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (29)
- Fusion Energy (17)
- Isotopes (1)
- Materials (68)
- Materials for Computing (13)
- Mathematics (1)
- National Security (42)
- Nuclear Science and Technology (21)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
- Supercomputing (137)
News Topics
- (-) Advanced Reactors (1)
- (-) Bioenergy (7)
- (-) Biotechnology (1)
- (-) Computer Science (19)
- (-) Cybersecurity (3)
- (-) Fusion (1)
- (-) Grid (1)
- (-) Machine Learning (3)
- (-) Microscopy (5)
- (-) Quantum Science (16)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (6)
- Big Data (2)
- Biology (5)
- Biomedical (11)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Coronavirus (8)
- Decarbonization (2)
- Energy Storage (6)
- Environment (8)
- Fossil Energy (1)
- Frontier (1)
- High-Performance Computing (2)
- Materials (14)
- Materials Science (23)
- Mathematics (1)
- Nanotechnology (11)
- National Security (2)
- Neutron Science (100)
- Nuclear Energy (3)
- Physics (10)
- Polymers (1)
- Quantum Computing (1)
- Security (2)
- Space Exploration (3)
- Sustainable Energy (3)
- 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.
Nonfood, plant-based biofuels have potential as a green alternative to fossil fuels, but the enzymes required for production are too inefficient and costly to produce. However, new research is shining a light on enzymes from fungi that could make biofuels economically viable.
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.
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.
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.
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.
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.