Filter News
Area of Research
- (-) Materials for Computing (1)
- (-) National Security (6)
- Advanced Manufacturing (1)
- Biology and Environment (21)
- Clean Energy (13)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Isotopes (1)
- Materials (11)
- Neutron Science (1)
- Supercomputing (16)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (1)
- (-) Bioenergy (2)
- (-) Biomedical (2)
- (-) Exascale Computing (1)
- (-) Frontier (1)
- Artificial Intelligence (3)
- Big Data (2)
- Biology (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (9)
- Coronavirus (2)
- Cybersecurity (5)
- Decarbonization (1)
- Energy Storage (1)
- Environment (1)
- Grid (3)
- High-Performance Computing (1)
- Machine Learning (4)
- Materials (5)
- Materials Science (3)
- Microscopy (1)
- Nanotechnology (2)
- National Security (13)
- Neutron Science (2)
- Partnerships (1)
- Physics (1)
- Polymers (1)
- Quantum Science (1)
- Security (4)
- Simulation (1)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.