Filter News
Area of Research
News Topics
- (-) 3-D Printing/Advanced Manufacturing (10)
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (6)
- (-) Clean Water (3)
- (-) Security (4)
- (-) Transportation (8)
- Big Data (5)
- Bioenergy (17)
- Biology (17)
- Biomedical (8)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (2)
- Climate Change (19)
- Composites (1)
- Computer Science (12)
- Coronavirus (11)
- Cybersecurity (5)
- Decarbonization (13)
- Energy Storage (8)
- Environment (29)
- Exascale Computing (1)
- Frontier (1)
- Fusion (7)
- Grid (5)
- High-Performance Computing (3)
- Hydropower (3)
- ITER (1)
- Machine Learning (6)
- Materials (2)
- Materials Science (6)
- Mathematics (2)
- Mercury (2)
- Microscopy (7)
- Nanotechnology (2)
- National Security (7)
- Net Zero (2)
- Neutron Science (8)
- Nuclear Energy (6)
- Partnerships (1)
- Physics (1)
- Polymers (2)
- Quantum Science (1)
- Simulation (1)
- Summit (6)
- Sustainable Energy (17)
Media Contacts
When Bill Partridge started working with industry partner Cummins in 1997, he was a postdoctoral researcher specializing in applied optical diagnostics and new to Oak Ridge National Laboratory.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
What’s getting Jim Szybist fired up these days? It’s the opportunity to apply his years of alternative fuel combustion and thermodynamics research to the challenge of cleaning up the hard-to-decarbonize, heavy-duty mobility sector — from airplanes to locomotives to ships and massive farm combines.
It’s been referenced in Popular Science and Newsweek, cited in the Economic Report of the President, and used by agencies to create countless federal regulations.
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.
When Andrew Sutton arrived at ORNL in late 2020, he knew the move would be significant in more ways than just a change in location.
Spanning no less than three disciplines, Marie Kurz’s title — hydrogeochemist — already gives you a sense of the collaborative, interdisciplinary nature of her research at ORNL.
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.