Filter News
Area of Research
- (-) Computational Biology (1)
- (-) Fusion and Fission (4)
- (-) Materials (15)
- (-) National Security (12)
- (-) Nuclear Science and Technology (1)
- Biology and Environment (29)
- Clean Energy (22)
- Computer Science (2)
- Fusion Energy (1)
- Materials for Computing (5)
- Neutron Science (9)
- Quantum information Science (2)
- Supercomputing (57)
News Topics
- (-) Computer Science (19)
- (-) Frontier (1)
- (-) Polymers (4)
- (-) Security (6)
- (-) Sustainable Energy (6)
- 3-D Printing/Advanced Manufacturing (9)
- Advanced Reactors (6)
- Artificial Intelligence (12)
- Big Data (5)
- Bioenergy (4)
- Biology (4)
- Biomedical (4)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (8)
- Clean Water (2)
- Climate Change (4)
- Composites (2)
- Coronavirus (4)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (7)
- Environment (11)
- Exascale Computing (2)
- Fusion (20)
- Grid (5)
- High-Performance Computing (7)
- Isotopes (7)
- ITER (2)
- Machine Learning (9)
- Materials (20)
- Materials Science (17)
- Mathematics (1)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (22)
- Net Zero (1)
- Neutron Science (12)
- Nuclear Energy (40)
- Partnerships (3)
- Physics (13)
- Quantum Computing (1)
- Quantum Science (1)
- Simulation (3)
- Space Exploration (2)
- Summit (2)
- Transformational Challenge Reactor (3)
- Transportation (5)
Media Contacts
To achieve practical energy from fusion, extreme heat from the fusion system “blanket” component must be extracted safely and efficiently. ORNL fusion experts are exploring how tiny 3D-printed obstacles placed inside the narrow pipes of a custom-made cooling system could be a solution for removing heat from the blanket.
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.
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
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.