Filter News
Area of Research
- (-) Neutron Science (14)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (13)
- Clean Energy (55)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (2)
- Fusion and Fission (16)
- Fusion Energy (5)
- Isotopes (4)
- Materials (31)
- Materials for Computing (4)
- National Security (9)
- Nuclear Science and Technology (10)
- Quantum information Science (6)
- Sensors and Controls (1)
- Supercomputing (31)
News Type
News Topics
- (-) Biomedical (4)
- (-) Energy Storage (5)
- (-) Nuclear Energy (1)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Bioenergy (1)
- Biology (4)
- Buildings (3)
- Chemical Sciences (1)
- Clean Water (1)
- Computer Science (8)
- Coronavirus (2)
- Cybersecurity (1)
- Decarbonization (1)
- Environment (5)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (1)
- Machine Learning (1)
- Materials (6)
- Materials Science (9)
- Microscopy (2)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (42)
- Physics (4)
- Quantum Computing (1)
- Security (1)
- Space Exploration (2)
- Summit (1)
- Sustainable Energy (1)
- Transportation (1)
Media Contacts
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.
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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.
Two of the researchers who share the Nobel Prize in Chemistry announced Wednesday—John B. Goodenough of the University of Texas at Austin and M. Stanley Whittingham of Binghamton University in New York—have research ties to ORNL.
Researchers at the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.