Filter News
Area of Research
- (-) Materials (32)
- (-) Supercomputing (27)
- Advanced Manufacturing (14)
- Biological Systems (2)
- Biology and Environment (52)
- Building Technologies (1)
- Clean Energy (120)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (4)
- Materials for Computing (8)
- National Security (16)
- Neutron Science (15)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Sensors and Controls (1)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (11)
- (-) Bioenergy (6)
- (-) Biomedical (14)
- (-) Grid (3)
- (-) Machine Learning (8)
- (-) Polymers (11)
- (-) Transportation (14)
- Advanced Reactors (3)
- Artificial Intelligence (22)
- Big Data (17)
- Biology (7)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (11)
- Clean Water (3)
- Climate Change (14)
- Composites (6)
- Computer Science (63)
- Coronavirus (10)
- Critical Materials (7)
- Cybersecurity (2)
- Decarbonization (5)
- Energy Storage (15)
- Environment (23)
- Exascale Computing (13)
- Frontier (14)
- Fusion (5)
- High-Performance Computing (23)
- Isotopes (8)
- Materials (33)
- Materials Science (39)
- Mathematics (1)
- Microscopy (13)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (3)
- Net Zero (1)
- Neutron Science (18)
- Nuclear Energy (15)
- Partnerships (3)
- Physics (15)
- Quantum Computing (15)
- Quantum Science (14)
- Security (2)
- Simulation (11)
- Software (1)
- Space Exploration (4)
- Summit (27)
- Sustainable Energy (9)
- Transformational Challenge Reactor (2)
Media Contacts
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
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.
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.
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.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
Scientists at Oak Ridge National Laboratory used new techniques to create a composite that increases the electrical current capacity of copper wires, providing a new material that can be scaled for use in ultra-efficient, power-dense electric vehicle traction motors.
About 60 years ago, scientists discovered that a certain rare earth metal-hydrogen mixture, yttrium, could be the ideal moderator to go inside small, gas-cooled nuclear reactors.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.