Filter News
Area of Research
- (-) Clean Energy (57)
- (-) Supercomputing (33)
- Advanced Manufacturing (5)
- Biology and Environment (12)
- Biology and Soft Matter (1)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (19)
- Fusion Energy (11)
- Isotopes (1)
- Materials (56)
- Materials for Computing (12)
- National Security (10)
- Neutron Science (16)
- Nuclear Science and Technology (13)
- Transportation Systems (2)
News Type
News Topics
- (-) Chemical Sciences (6)
- (-) Frontier (14)
- (-) Fusion (1)
- (-) Machine Learning (10)
- (-) Materials Science (22)
- (-) Transportation (46)
- 3-D Printing/Advanced Manufacturing (46)
- Advanced Reactors (3)
- Artificial Intelligence (24)
- Big Data (18)
- Bioenergy (14)
- Biology (12)
- Biomedical (14)
- Biotechnology (3)
- Buildings (25)
- Clean Water (7)
- Climate Change (26)
- Composites (11)
- Computer Science (71)
- Coronavirus (16)
- Critical Materials (7)
- Cybersecurity (7)
- Decarbonization (21)
- Energy Storage (42)
- Environment (45)
- Exascale Computing (13)
- Fossil Energy (1)
- Grid (28)
- High-Performance Computing (23)
- Hydropower (2)
- Materials (22)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Microscopy (6)
- Nanotechnology (8)
- National Security (4)
- Net Zero (3)
- Neutron Science (8)
- Nuclear Energy (6)
- Partnerships (4)
- Physics (3)
- Polymers (8)
- Quantum Computing (14)
- Quantum Science (14)
- Security (3)
- Simulation (12)
- Software (1)
- Space Exploration (5)
- Statistics (1)
- Summit (28)
- Sustainable Energy (43)
Media Contacts
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.
Oak Ridge National Laboratory researchers determined that for every 5 miles per hour that drivers travel over a 50-mph speed limit, fuel economy decreases by 7% and equates to paying an extra 28 cents per gallon at current.
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.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
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
Burak Ozpineci started out at ORNL working on a novel project: introducing silicon carbide into power electronics for more efficient electric vehicles. Twenty years later, the car he drives contains those same components.