Filter News
Area of Research
- (-) Computational Biology (1)
- (-) National Security (19)
- Advanced Manufacturing (2)
- Biology and Environment (43)
- Biology and Soft Matter (1)
- Clean Energy (34)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (18)
- Fusion Energy (4)
- Isotopes (3)
- Materials (42)
- Materials for Computing (7)
- Neutron Science (36)
- Nuclear Science and Technology (17)
- Quantum information Science (1)
- Supercomputing (52)
News Topics
- (-) Big Data (4)
- (-) Biotechnology (1)
- (-) Climate Change (4)
- (-) Grid (3)
- (-) Machine Learning (8)
- (-) Materials Science (2)
- (-) Nanotechnology (1)
- (-) Neutron Science (3)
- (-) Nuclear Energy (2)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (7)
- Bioenergy (2)
- Biology (4)
- Biomedical (2)
- Buildings (1)
- Computer Science (10)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- High-Performance Computing (4)
- Materials (1)
- National Security (22)
- Partnerships (1)
- Quantum Science (1)
- Security (5)
- Simulation (1)
- Sustainable Energy (1)
Media Contacts
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
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.