Filter News
Area of Research
News Type
News Topics
- (-) Biotechnology (1)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biomedical (4)
- Buildings (1)
- Chemical Sciences (6)
- Climate Change (5)
- Composites (1)
- Computer Science (25)
- Coronavirus (5)
- Cybersecurity (19)
- Decarbonization (2)
- Energy Storage (6)
- Environment (6)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (6)
- High-Performance Computing (4)
- Isotopes (1)
- Machine Learning (12)
- Materials (12)
- Materials Science (18)
- Microscopy (4)
- Nanotechnology (8)
- National Security (35)
- Neutron Science (9)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (4)
- Security (12)
- Simulation (1)
- Space Exploration (1)
- Sustainable Energy (7)
- Transportation (7)
Media Contacts
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.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
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.