Filter News
Area of Research
- (-) Fusion Energy (5)
- (-) Neutron Science (20)
- Advanced Manufacturing (3)
- Biology and Environment (83)
- Biology and Soft Matter (1)
- Clean Energy (73)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (30)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (43)
- Materials for Computing (6)
- National Security (34)
- Nuclear Science and Technology (25)
- Quantum information Science (2)
- Supercomputing (91)
News Topics
- (-) Computer Science (13)
- (-) Environment (6)
- (-) Machine Learning (3)
- (-) Nuclear Energy (7)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (5)
- Big Data (2)
- Bioenergy (5)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Coronavirus (8)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (4)
- Fossil Energy (1)
- Frontier (1)
- Fusion (8)
- High-Performance Computing (2)
- Materials (12)
- Materials Science (20)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (8)
- National Security (2)
- Neutron Science (74)
- Physics (8)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (5)
- Security (2)
- Space Exploration (2)
- Summit (6)
- Sustainable Energy (3)
- Transportation (4)
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.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
ORNL will team up with six of eight companies that are advancing designs and research and development for fusion power plants with the mission to achieve a pilot-scale demonstration of fusion within a decade.
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.
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.
Oak Ridge National Laboratory expertise in fission and fusion has come together to form a new collaboration, the Fusion Energy Reactor Models Integrator, or FERMI
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.