Filter News
Area of Research
- (-) Materials for Computing (3)
- (-) National Security (9)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (40)
- Clean Energy (21)
- Computational Biology (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotopes (2)
- Materials (36)
- Neutron Science (12)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (44)
News Topics
- (-) Artificial Intelligence (6)
- (-) Bioenergy (2)
- (-) Materials (3)
- 3-D Printing/Advanced Manufacturing (1)
- Big Data (4)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (4)
- Computer Science (12)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (2)
- Energy Storage (2)
- Environment (3)
- Grid (3)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials Science (6)
- Microscopy (1)
- Nanotechnology (4)
- National Security (22)
- Neutron Science (4)
- Nuclear Energy (2)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (2)
- Security (5)
- Simulation (1)
- Summit (1)
- Sustainable Energy (1)
- Transportation (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.
The word “exotic” may not spark thoughts of uranium, but Tyler Spano’s investigations of exotic phases of uranium are bringing new knowledge to the nuclear nonproliferation industry.
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.
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.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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
Through a consortium of Department of Energy national laboratories, ORNL scientists are applying their expertise to provide solutions that enable the commercialization of emission-free hydrogen fuel cell technology for heavy-duty