Filter News
Area of Research
- (-) Advanced Manufacturing (1)
- (-) Climate and Environmental Systems (5)
- (-) Materials for Computing (5)
- (-) Neutron Science (22)
- Biology and Environment (101)
- Biology and Soft Matter (1)
- Clean Energy (66)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Fusion Energy (1)
- Isotopes (1)
- Materials (31)
- Mathematics (1)
- National Security (19)
- Nuclear Science and Technology (1)
- Quantum information Science (9)
- Supercomputing (91)
News Topics
- (-) Environment (14)
- (-) Fossil Energy (1)
- (-) Machine Learning (4)
- (-) Mercury (1)
- (-) Quantum Science (9)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (30)
- Advanced Reactors (2)
- Artificial Intelligence (7)
- Big Data (2)
- Bioenergy (8)
- Biology (7)
- Biomedical (13)
- Biotechnology (1)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (4)
- Composites (5)
- Computer Science (20)
- Coronavirus (11)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (10)
- Frontier (1)
- Fusion (2)
- High-Performance Computing (2)
- Isotopes (1)
- Materials (28)
- Materials Science (39)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (17)
- National Security (3)
- Neutron Science (101)
- Nuclear Energy (5)
- Physics (9)
- Polymers (7)
- Quantum Computing (1)
- Security (2)
- Simulation (1)
- Space Exploration (4)
- Sustainable Energy (12)
- Transformational Challenge Reactor (1)
- Transportation (9)
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.
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.
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.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
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.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.