Filter News
Area of Research
News Type
News Topics
- (-) Grid (2)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (3)
- Big Data (1)
- Bioenergy (15)
- Biology (26)
- Biomedical (2)
- Biotechnology (3)
- Buildings (1)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (16)
- Composites (2)
- Computer Science (3)
- Coronavirus (2)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (8)
- Energy Storage (4)
- Environment (24)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (4)
- Hydropower (5)
- Machine Learning (3)
- Materials (4)
- Materials Science (2)
- Mercury (1)
- Microscopy (6)
- Nanotechnology (2)
- National Security (1)
- Net Zero (1)
- Neutron Science (1)
- Nuclear Energy (1)
- Partnerships (3)
- Polymers (1)
- Security (1)
- Simulation (1)
- Sustainable Energy (9)
- Transformational Challenge Reactor (1)
- Transportation (1)
Media Contacts
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.
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.