Filter News
Area of Research
News Topics
- (-) Grid (1)
- (-) Machine Learning (2)
- (-) Materials Science (5)
- (-) Nanotechnology (3)
- (-) Summit (4)
- Artificial Intelligence (3)
- Big Data (1)
- Bioenergy (2)
- Biology (3)
- Biomedical (3)
- Buildings (1)
- Chemical Sciences (1)
- Clean Water (1)
- Climate Change (3)
- Composites (1)
- Computer Science (6)
- Coronavirus (2)
- Decarbonization (1)
- Energy Storage (1)
- Environment (3)
- Exascale Computing (1)
- Frontier (3)
- High-Performance Computing (4)
- Isotopes (3)
- Materials (6)
- Microscopy (3)
- National Security (1)
- Neutron Science (2)
- Nuclear Energy (1)
- Physics (1)
- Polymers (2)
- Quantum Computing (5)
- Quantum Science (3)
- Simulation (3)
- Sustainable Energy (1)
- Transportation (2)
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.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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.
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
Carbon fiber composites—lightweight and strong—are great structural materials for automobiles, aircraft and other transportation vehicles. They consist of a polymer matrix, such as epoxy, into which reinforcing carbon fibers have been embedded. Because of differences in the mecha...
A new microscopy technique developed at the University of Illinois at Chicago allows researchers to visualize liquids at the nanoscale level — about 10 times more resolution than with traditional transmission electron microscopy — for the first time. By trapping minute amounts of...