Filter News
Area of Research
- (-) Materials (34)
- (-) Supercomputing (26)
- Advanced Manufacturing (3)
- Biology and Environment (17)
- Clean Energy (53)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (3)
- Materials for Computing (5)
- National Security (12)
- Neutron Science (36)
- Nuclear Science and Technology (17)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Big Data (13)
- (-) Clean Water (2)
- (-) Energy Storage (7)
- (-) Grid (3)
- (-) Materials Science (20)
- (-) Neutron Science (14)
- (-) Nuclear Energy (11)
- (-) Transformational Challenge Reactor (2)
- Advanced Reactors (1)
- Artificial Intelligence (21)
- Bioenergy (5)
- Biology (6)
- Biomedical (8)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (7)
- Climate Change (12)
- Composites (2)
- Computer Science (47)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Environment (18)
- Exascale Computing (12)
- Frontier (13)
- Fusion (2)
- High-Performance Computing (20)
- Isotopes (6)
- Machine Learning (7)
- Materials (21)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Partnerships (3)
- Physics (13)
- Polymers (4)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Sustainable Energy (5)
- Transportation (7)
Media Contacts
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.
A scientific instrument at ORNL could help create a noninvasive cancer treatment derived from a common tropical plant.
The U.S. Departments of Energy and Defense teamed up to create a series of weld filler materials that could dramatically improve high-strength steel repair in vehicles, bridges and pipelines.
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
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.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
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.