Filter News
Area of Research
- (-) Advanced Manufacturing (4)
- (-) Neutron Science (20)
- Biological Systems (2)
- Biology and Environment (56)
- Clean Energy (83)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (43)
- Fusion Energy (15)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (51)
- Materials for Computing (4)
- National Security (38)
- Nuclear Science and Technology (37)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (58)
News Topics
- (-) Bioenergy (7)
- (-) Cybersecurity (2)
- (-) Fusion (2)
- (-) Machine Learning (4)
- (-) Nuclear Energy (5)
- (-) Quantum Science (7)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (2)
- Artificial Intelligence (7)
- Big Data (2)
- Biology (5)
- Biomedical (11)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (4)
- Computer Science (14)
- Coronavirus (8)
- Decarbonization (2)
- Energy Storage (6)
- Environment (8)
- Fossil Energy (1)
- Frontier (1)
- High-Performance Computing (2)
- Materials (18)
- Materials Science (27)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (99)
- Physics (9)
- Polymers (1)
- Quantum Computing (1)
- Security (2)
- Space Exploration (4)
- Summit (6)
- Sustainable Energy (7)
- Transformational Challenge Reactor (1)
- Transportation (5)
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.
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.
Nonfood, plant-based biofuels have potential as a green alternative to fossil fuels, but the enzymes required for production are too inefficient and costly to produce. However, new research is shining a light on enzymes from fungi that could make biofuels economically viable.
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.
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.
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
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 researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.