Filter News
Area of Research
- (-) National Security (17)
- (-) Supercomputing (34)
- Advanced Manufacturing (14)
- Biology and Environment (26)
- Building Technologies (1)
- Clean Energy (80)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (18)
- Materials (25)
- Materials for Computing (4)
- Mathematics (1)
- Neutron Science (9)
- Nuclear Science and Technology (5)
- Quantum information Science (7)
- Sensors and Controls (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Big Data (20)
- (-) Grid (6)
- (-) Machine Learning (14)
- (-) Quantum Science (14)
- Advanced Reactors (1)
- Artificial Intelligence (26)
- Bioenergy (4)
- Biology (9)
- Biomedical (11)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (17)
- Computer Science (66)
- Coronavirus (11)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (4)
- Energy Storage (3)
- Environment (20)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- High-Performance Computing (25)
- Materials (6)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (4)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Security (7)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (27)
- Sustainable Energy (5)
- Transportation (5)
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.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
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.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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
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.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.