Filter News
Area of Research
- (-) National Security (16)
- (-) Quantum information Science (2)
- Biology and Environment (37)
- Clean Energy (20)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (5)
- Fusion Energy (1)
- Materials (24)
- Materials for Computing (5)
- Neutron Science (10)
- Nuclear Science and Technology (2)
- Supercomputing (60)
News Topics
- (-) Big Data (4)
- (-) Computer Science (10)
- (-) Machine Learning (8)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Bioenergy (3)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Coronavirus (1)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- Grid (3)
- High-Performance Computing (3)
- Materials (1)
- Materials Science (2)
- Microscopy (2)
- Nanotechnology (2)
- National Security (22)
- Neutron Science (2)
- Nuclear Energy (2)
- Quantum Science (5)
- Security (5)
- Simulation (1)
- Summit (1)
Media Contacts
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.
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
A team of researchers at Oak Ridge National Laboratory and Purdue University has taken an important step toward this goal by harnessing the frequency, or color, of light. Such capabilities could contribute to more practical and large-scale quantum networks exponentially more powerful and secure than the classical networks we have today.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
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.