Filter News
Area of Research
News Topics
- (-) Coronavirus (4)
- (-) Grid (4)
- (-) Machine Learning (7)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (7)
- Big Data (3)
- Bioenergy (3)
- Biology (7)
- Biomedical (4)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (7)
- Computer Science (13)
- Critical Materials (1)
- Cybersecurity (5)
- Decarbonization (1)
- Energy Storage (2)
- Environment (3)
- Exascale Computing (5)
- Frontier (6)
- High-Performance Computing (7)
- Materials (7)
- Materials Science (4)
- Microscopy (2)
- Nanotechnology (3)
- National Security (13)
- Neutron Science (2)
- Partnerships (1)
- Physics (2)
- Quantum Computing (7)
- Quantum Science (4)
- Security (4)
- Simulation (4)
- Space Exploration (1)
- Summit (6)
- Sustainable Energy (1)
Media Contacts
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.