Filter News
Area of Research
- (-) Neutron Science (13)
- Advanced Manufacturing (1)
- Biology and Environment (34)
- Clean Energy (48)
- Computational Biology (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotopes (1)
- Materials (45)
- Materials for Computing (10)
- National Security (11)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (67)
News Topics
- (-) Computer Science (9)
- (-) Energy Storage (2)
- (-) Physics (2)
- (-) Polymers (1)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (4)
- Big Data (1)
- Bioenergy (2)
- Biology (4)
- Biomedical (6)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Coronavirus (3)
- Cybersecurity (1)
- Decarbonization (1)
- Environment (4)
- Fossil Energy (1)
- Fusion (1)
- High-Performance Computing (1)
- Machine Learning (3)
- Materials (6)
- Materials Science (12)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (4)
- National Security (2)
- Neutron Science (43)
- Nuclear Energy (1)
- Quantum Computing (1)
- Quantum Science (2)
- Security (2)
- Space Exploration (2)
- Summit (2)
- Transportation (1)
Media Contacts
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.
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.
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Geoffrey L. Greene, a professor at the University of Tennessee, Knoxville, who holds a joint appointment with ORNL, will be awarded the 2021 Tom Bonner Prize for Nuclear Physics from the American Physical Society.
COVID-19 has upended nearly every aspect of our daily lives and forced us all to rethink how we can continue our work in a more physically isolated world.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
Biological membranes, such as the “walls” of most types of living cells, primarily consist of a double layer of lipids, or “lipid bilayer,” that forms the structure, and a variety of embedded and attached proteins with highly specialized functions, including proteins that rapidly and selectively transport ions and molecules in and out of the cell.