Filter News
Area of Research
- (-) Materials for Computing (8)
- (-) Neutron Science (16)
- Advanced Manufacturing (2)
- Biology and Environment (14)
- Clean Energy (103)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (25)
- Fusion Energy (13)
- Materials (39)
- National Security (22)
- Nuclear Science and Technology (8)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (46)
- Transportation Systems (2)
News Topics
- (-) Fusion (1)
- (-) Machine Learning (3)
- (-) Quantum Science (9)
- (-) Transportation (9)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (2)
- Bioenergy (7)
- Biology (6)
- Biomedical (13)
- Biotechnology (1)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (2)
- Composites (2)
- Computer Science (18)
- Coronavirus (11)
- Cybersecurity (1)
- Decarbonization (3)
- Energy Storage (10)
- Environment (9)
- Fossil Energy (1)
- Frontier (1)
- High-Performance Computing (2)
- Isotopes (1)
- Materials (24)
- Materials Science (35)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (17)
- National Security (3)
- Neutron Science (101)
- Nuclear Energy (3)
- Physics (9)
- Polymers (7)
- Quantum Computing (1)
- Security (2)
- Simulation (1)
- Space Exploration (3)
- Summit (6)
- Sustainable Energy (7)
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.
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.
Drilling with the beam of an electron microscope, scientists at ORNL precisely machined tiny electrically conductive cubes that can interact with light and organized them in patterned structures that confine and relay light’s electromagnetic signal.
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.
Oak Ridge National Laboratory researchers have developed a new catalyst for converting ethanol into C3+ olefins – the chemical
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
Through a consortium of Department of Energy national laboratories, ORNL scientists are applying their expertise to provide solutions that enable the commercialization of emission-free hydrogen fuel cell technology for heavy-duty
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.
Oak Ridge National Laboratory scientists demonstrated that an electron microscope can be used to selectively remove carbon atoms from graphene’s atomically thin lattice and stitch transition-metal dopant atoms in their place.