Filter News
Area of Research
- (-) Neutron Science (16)
- (-) Supercomputing (51)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (65)
- Clean Energy (47)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (5)
- Isotopes (7)
- Materials (35)
- Materials for Computing (4)
- National Security (27)
- Nuclear Science and Technology (16)
- Quantum information Science (4)
News Topics
- (-) Big Data (13)
- (-) Biology (6)
- (-) Biomedical (10)
- (-) Clean Water (2)
- (-) Cybersecurity (2)
- (-) Grid (1)
- (-) Machine Learning (9)
- (-) Materials (9)
- (-) Nuclear Energy (3)
- (-) Quantum Science (10)
- (-) Security (2)
- (-) Summit (21)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (22)
- Bioenergy (5)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (47)
- Coronavirus (7)
- Decarbonization (4)
- Energy Storage (3)
- Environment (16)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- High-Performance Computing (20)
- Materials Science (13)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (35)
- Physics (4)
- Polymers (1)
- Quantum Computing (10)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Transportation (4)
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.
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
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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.
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.
The ExOne Company, the global leader in industrial sand and metal 3D printers using binder jetting technology, announced it has reached a commercial license agreement with Oak Ridge National Laboratory to 3D print parts in aluminum-infiltrated boron carbide.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.
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.