Filter News
Area of Research
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Artificial Intelligence (4)
- (-) Clean Water (2)
- (-) Microscopy (7)
- (-) Security (2)
- (-) Transportation (3)
- Big Data (4)
- Bioenergy (13)
- Biology (16)
- Biomedical (3)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (4)
- Climate Change (21)
- Composites (1)
- Computer Science (9)
- Coronavirus (3)
- Cybersecurity (3)
- Decarbonization (14)
- Energy Storage (2)
- Environment (25)
- Exascale Computing (3)
- Frontier (4)
- Fusion (4)
- Grid (2)
- High-Performance Computing (7)
- Hydropower (3)
- Isotopes (1)
- ITER (1)
- Machine Learning (4)
- Materials (8)
- Materials Science (4)
- Mercury (1)
- Nanotechnology (3)
- National Security (7)
- Net Zero (2)
- Neutron Science (3)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (2)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (3)
- Simulation (3)
- Summit (4)
- Sustainable Energy (13)
Media Contacts
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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.
Bruce Warmack has been fascinated by science since his mother finally let him have a chemistry set at the age of nine. He’d been pestering her for one since he was six.
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.