Filter News
Area of Research
News Type
Date
News Topics
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Big Data (4)
- Bioenergy (2)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Climate Change (5)
- Computer Science (9)
- Coronavirus (1)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (4)
- Grid (3)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (1)
- Materials Science (2)
- Nanotechnology (1)
- National Security (22)
- Neutron Science (2)
- Nuclear Energy (2)
- Quantum Science (1)
- Security (5)
- Simulation (1)
- Sustainable Energy (1)
Media Contacts
![The ORNL researchers’ findings may enable better detection of uranium tetrafluoride hydrate, a little-studied byproduct of the nuclear fuel cycle, and better understanding of how environmental conditions influence the chemical behavior of fuel cycle materials. Credit: Kevin Pastoor/Colorado School of Mines](/sites/default/files/styles/list_page_thumbnail/public/2022-05/UF4%20hydrate.png?h=d318f057&itok=spT-Dg48)
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.