Filter News
Area of Research
- (-) Fusion Energy (7)
- (-) Materials (51)
- (-) National Security (35)
- Advanced Manufacturing (5)
- Biology and Environment (15)
- Clean Energy (67)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Materials for Computing (5)
- Neutron Science (102)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (58)
News Topics
- (-) Advanced Reactors (11)
- (-) Artificial Intelligence (21)
- (-) Cybersecurity (21)
- (-) Grid (11)
- (-) Neutron Science (35)
- 3-D Printing/Advanced Manufacturing (25)
- Big Data (7)
- Bioenergy (14)
- Biology (8)
- Biomedical (8)
- Biotechnology (1)
- Buildings (6)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (9)
- Composites (9)
- Computer Science (35)
- Coronavirus (6)
- Critical Materials (13)
- Decarbonization (9)
- Energy Storage (35)
- Environment (20)
- Exascale Computing (2)
- Frontier (4)
- Fusion (19)
- High-Performance Computing (8)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (16)
- Materials (74)
- Materials Science (78)
- Mathematics (1)
- Microscopy (27)
- Molten Salt (3)
- Nanotechnology (39)
- National Security (35)
- Net Zero (1)
- Nuclear Energy (28)
- Partnerships (15)
- Physics (29)
- Polymers (17)
- Quantum Computing (3)
- Quantum Science (12)
- Renewable Energy (1)
- Security (11)
- Simulation (2)
- Space Exploration (2)
- Summit (5)
- Sustainable Energy (17)
- Transformational Challenge Reactor (3)
- Transportation (16)
Media Contacts
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.
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
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.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences