Filter News
Area of Research
News Topics
- (-) Biology (3)
- (-) Clean Water (1)
- (-) Isotopes (1)
- (-) Machine Learning (2)
- (-) Microscopy (2)
- Artificial Intelligence (3)
- Big Data (1)
- Bioenergy (2)
- Biomedical (2)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (5)
- Coronavirus (2)
- Decarbonization (1)
- Environment (4)
- Exascale Computing (1)
- Frontier (3)
- Fusion (4)
- High-Performance Computing (4)
- ITER (1)
- Materials (6)
- Materials Science (3)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (2)
- Nuclear Energy (3)
- Physics (2)
- Quantum Computing (5)
- Quantum Science (3)
- Simulation (3)
- Summit (4)
- Sustainable Energy (3)
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.
Larry Allard, a distinguished research staff member at Oak Ridge National Laboratory, has been named a Fellow of the Microanalysis Society.
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
Two decades in the making, a new flagship facility for nuclear physics opened on May 2, and scientists from the Department of Energy’s Oak Ridge National Laboratory have a hand in 10 of its first 34 experiments.
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.
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.