Filter News
Area of Research
News Type
News Topics
- (-) Neutron Science (1)
- Artificial Intelligence (7)
- Big Data (3)
- Bioenergy (2)
- Biology (5)
- Biomedical (4)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (3)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (3)
- Environment (3)
- Exascale Computing (6)
- Frontier (7)
- Grid (2)
- High-Performance Computing (8)
- Machine Learning (5)
- Materials (8)
- Materials Science (5)
- Microscopy (2)
- Nanotechnology (3)
- National Security (3)
- Partnerships (1)
- Physics (1)
- Quantum Computing (7)
- Quantum Science (4)
- Security (2)
- Simulation (5)
- Space Exploration (1)
- Summit (7)
- Sustainable Energy (2)
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.