Filter News
Area of Research
- (-) National Security (4)
- Biological Systems (1)
- Biology and Environment (32)
- Clean Energy (15)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (1)
- Isotopes (4)
- Materials (11)
- Materials for Computing (2)
- Neutron Science (14)
- Nuclear Science and Technology (1)
- Supercomputing (59)
Date
News Topics
- (-) Biomedical (2)
- (-) Exascale Computing (1)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (4)
- Bioenergy (3)
- Biology (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (17)
- Coronavirus (1)
- Cybersecurity (17)
- Decarbonization (2)
- Energy Storage (1)
- Environment (4)
- Frontier (1)
- Fusion (1)
- Grid (4)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (33)
- Neutron Science (4)
- Nuclear Energy (4)
- Partnerships (4)
- Physics (1)
- Quantum Science (1)
- Security (10)
- Simulation (1)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
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.