Filter News
Area of Research
- (-) Biology and Environment (36)
- (-) Computational Biology (2)
- (-) Fusion and Fission (11)
- Advanced Manufacturing (6)
- Clean Energy (157)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (130)
- Materials Characterization (1)
- Materials for Computing (18)
- Materials Under Extremes (1)
- National Security (27)
- Neutron Science (49)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (97)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (11)
- (-) Energy Storage (10)
- (-) Grid (5)
- (-) Materials Science (9)
- (-) Mercury (7)
- (-) Physics (3)
- (-) Summit (11)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (7)
- Big Data (9)
- Bioenergy (46)
- Biology (75)
- Biomedical (19)
- Biotechnology (13)
- Buildings (3)
- Chemical Sciences (15)
- Clean Water (11)
- Climate Change (40)
- Composites (6)
- Computer Science (21)
- Coronavirus (14)
- Critical Materials (2)
- Cybersecurity (1)
- Decarbonization (21)
- Environment (90)
- Exascale Computing (5)
- Fossil Energy (1)
- Frontier (4)
- Fusion (22)
- High-Performance Computing (23)
- Hydropower (8)
- Isotopes (3)
- ITER (6)
- Machine Learning (8)
- Materials (12)
- Mathematics (3)
- Microscopy (11)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (3)
- Net Zero (3)
- Neutron Science (5)
- Nuclear Energy (27)
- Partnerships (8)
- Polymers (2)
- Renewable Energy (1)
- Security (3)
- Simulation (17)
- Space Exploration (1)
- Sustainable Energy (33)
- Transformational Challenge Reactor (1)
Media Contacts
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.
A team led by ORNL and the University of Michigan have discovered that certain bacteria can steal an essential compound from other microbes to break down methane and toxic methylmercury in the environment.
Anyone familiar with ORNL knows it’s a hub for world-class science. The nearly 33,000-acre space surrounding the lab is less known, but also unique.
Moving to landlocked Tennessee isn’t an obvious choice for most scientists with new doctorate degrees in coastal oceanography.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energy’s Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOM’s artificial intelligence, or AI-driven, drug discovery platform.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
As program manager for the Department of Energy’s Oak Ridge National Laboratory’s Package Testing Program, Oscar Martinez enjoys finding and fixing technical issues.