Filter News
Area of Research
- (-) National Security (3)
- Biology and Environment (12)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Energy Science (5)
- Fusion and Fission (1)
- Fusion Energy (1)
- Materials (31)
- Materials for Computing (1)
- Neutron Science (15)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Supercomputing (48)
News Topics
- (-) Physics (1)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Computer Science (19)
- Coronavirus (2)
- Cybersecurity (19)
- Energy Storage (2)
- Environment (5)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (6)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (35)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (5)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Transportation (2)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
1 - 3 of 3 Results

Nine student physicists and engineers from the #1-ranked Nuclear Engineering and Radiological Sciences Program at the University of Michigan, or UM, attended a scintillation detector workshop at 91°µÍø Oct. 10-13.

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 novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.