Filter News
Area of Research
- (-) Neutron Science (28)
- Advanced Manufacturing (4)
- Biology and Environment (35)
- Building Technologies (1)
- Clean Energy (127)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (46)
- Fusion Energy (17)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (77)
- Materials for Computing (12)
- Mathematics (1)
- National Security (44)
- Nuclear Science and Technology (37)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (119)
News Topics
- (-) Computer Science (13)
- (-) Cybersecurity (1)
- (-) Energy Storage (6)
- (-) Fusion (1)
- (-) Machine Learning (3)
- (-) Nuclear Energy (3)
- (-) Quantum Science (7)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (2)
- Bioenergy (6)
- Biology (6)
- Biomedical (12)
- Biotechnology (1)
- Chemical Sciences (3)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Coronavirus (8)
- Decarbonization (2)
- Environment (8)
- Fossil Energy (1)
- Frontier (1)
- High-Performance Computing (2)
- Materials (14)
- Materials Science (23)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (101)
- Physics (9)
- Polymers (1)
- Quantum Computing (1)
- Security (2)
- Space Exploration (3)
- Summit (6)
- Sustainable Energy (2)
- Transportation (5)
Media Contacts
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
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.
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.
Researchers at ORNL and the University of Tennessee, Knoxville, discovered a key material needed for fast-charging lithium-ion batteries. The commercially relevant approach opens a potential pathway to improve charging speeds for electric vehicles.
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.
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.
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.