Filter News
Area of Research
- (-) Supercomputing (18)
- Advanced Manufacturing (12)
- Biology and Environment (20)
- Building Technologies (1)
- Clean Energy (61)
- Computational Biology (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (11)
- Fusion Energy (4)
- Isotopes (2)
- Materials (27)
- Materials for Computing (7)
- National Security (2)
- Neutron Science (15)
- Nuclear Science and Technology (25)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Bioenergy (3)
- (-) Coronavirus (10)
- (-) Microscopy (4)
- (-) Nuclear Energy (1)
- Artificial Intelligence (9)
- Big Data (8)
- Biology (2)
- Biomedical (9)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (49)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (3)
- Environment (10)
- Exascale Computing (2)
- Frontier (4)
- Fusion (1)
- Grid (2)
- High-Performance Computing (12)
- Isotopes (1)
- Machine Learning (5)
- Materials (2)
- Materials Science (10)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (2)
- Neutron Science (10)
- Physics (4)
- Polymers (2)
- Quantum Computing (5)
- Quantum Science (12)
- Security (1)
- Summit (20)
- Sustainable Energy (5)
- Transportation (4)
Media Contacts
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
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.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
The annual Director's Awards recognized four individuals and teams including awards for leadership in quantum simulation development and application on high-performance computing platforms, and revolutionary advancements in the area of microbial
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.
Researchers at ORNL used quantum optics to advance state-of-the-art microscopy and illuminate a path to detecting material properties with greater sensitivity than is possible with traditional tools.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.