Filter News
Area of Research
News Topics
- (-) Biomedical (2)
- (-) Neutron Science (1)
- (-) Nuclear Energy (1)
- 3-D Printing/Advanced Manufacturing (7)
- Artificial Intelligence (3)
- Big Data (2)
- Bioenergy (6)
- Biology (3)
- Biotechnology (2)
- Buildings (4)
- Clean Water (1)
- Climate Change (9)
- Computer Science (9)
- Coronavirus (1)
- Cybersecurity (4)
- Decarbonization (8)
- Energy Storage (5)
- Environment (10)
- Grid (5)
- High-Performance Computing (1)
- Machine Learning (4)
- Materials (1)
- Mercury (1)
- Microscopy (1)
- Nanotechnology (1)
- National Security (7)
- Net Zero (1)
- Partnerships (1)
- Polymers (1)
- Security (3)
- Simulation (1)
- Space Exploration (1)
- Summit (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.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.