Filter News
Area of Research
- (-) National Security (9)
- (-) Nuclear Science and Technology (2)
- Advanced Manufacturing (2)
- Biology and Environment (26)
- Clean Energy (18)
- Computational Biology (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Materials (27)
- Materials for Computing (3)
- Neutron Science (35)
- Quantum information Science (4)
- Supercomputing (50)
News Topics
- (-) Artificial Intelligence (6)
- (-) Neutron Science (3)
- (-) Physics (1)
- (-) Quantum Science (1)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (4)
- Big Data (4)
- Bioenergy (2)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- Fusion (6)
- Grid (3)
- High-Performance Computing (3)
- Isotopes (2)
- Machine Learning (8)
- Materials (1)
- Materials Science (4)
- Molten Salt (1)
- Nanotechnology (1)
- National Security (23)
- Nuclear Energy (18)
- Partnerships (1)
- Security (5)
- Simulation (1)
- Space Exploration (1)
- Summit (1)
- Transformational Challenge Reactor (2)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
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.
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
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.
With Tennessee schools online for the rest of the school year, researchers at ORNL are making remote learning more engaging by “Zooming” into virtual classrooms to tell students about their science and their work at a national laboratory.
As a teenager, Kat Royston had a lot of questions. Then an advanced-placement class in physics convinced her all the answers were out there.