Filter News
Area of Research
- (-) Computer Science (1)
- (-) National Security (6)
- Advanced Manufacturing (1)
- Biology and Environment (14)
- Clean Energy (17)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotopes (1)
- Materials (8)
- Materials for Computing (3)
- Neutron Science (2)
- Supercomputing (12)
News Topics
- (-) Big Data (3)
- (-) Frontier (1)
- (-) Security (3)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Bioenergy (2)
- Biology (4)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (8)
- Coronavirus (1)
- Cybersecurity (5)
- Decarbonization (1)
- Energy Storage (1)
- Environment (1)
- Exascale Computing (2)
- Grid (3)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials (1)
- National Security (13)
- Neutron Science (2)
- Partnerships (1)
- Physics (1)
- Simulation (1)
- Summit (2)
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.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
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.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.