Filter News
Area of Research
- (-) Neutron Science (32)
- Advanced Manufacturing (2)
- Biology and Environment (28)
- Clean Energy (116)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (7)
- Materials (96)
- Materials for Computing (13)
- National Security (23)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (58)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (1)
- (-) Machine Learning (3)
- (-) Nanotechnology (10)
- (-) Physics (9)
- (-) Quantum Science (7)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (6)
- 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)
- Computer Science (13)
- Coronavirus (8)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (6)
- Environment (8)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (2)
- Materials (14)
- Materials Science (23)
- Mathematics (1)
- Microscopy (3)
- National Security (2)
- Neutron Science (101)
- Nuclear Energy (3)
- Polymers (1)
- Quantum Computing (1)
- Security (2)
- Space Exploration (3)
- Summit (6)
- Sustainable Energy (2)
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.
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
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.
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.
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.
To solve a long-standing puzzle about how long a neutron can “live” outside an atomic nucleus, physicists entertained a wild but testable theory positing the existence of a right-handed version of our left-handed universe.
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.
Scientists at ORNL and the University of Tennessee, Knoxville, have found a way to simultaneously increase the strength and ductility of an alloy by introducing tiny precipitates into its matrix and tuning their size and spacing.
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.