Filter News
Area of Research
- (-) National Security (4)
- (-) Supercomputing (24)
- Advanced Manufacturing (14)
- Biological Systems (1)
- Biology and Environment (14)
- Building Technologies (1)
- Clean Energy (56)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (8)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (6)
- Fusion Energy (5)
- Materials (29)
- Materials for Computing (7)
- Neutron Science (10)
- Nuclear Science and Technology (14)
- Quantum information Science (6)
- Sensors and Controls (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Artificial Intelligence (12)
- (-) Bioenergy (2)
- (-) Machine Learning (2)
- (-) Nuclear Energy (2)
- (-) Polymers (1)
- (-) Quantum Science (9)
- (-) Security (5)
- Advanced Reactors (1)
- Big Data (5)
- Biology (1)
- Biomedical (3)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (45)
- Coronavirus (2)
- Critical Materials (1)
- Cybersecurity (7)
- Energy Storage (3)
- Environment (9)
- Exascale Computing (2)
- Frontier (5)
- Grid (2)
- High-Performance Computing (10)
- Materials Science (4)
- Microscopy (2)
- Nanotechnology (2)
- National Security (4)
- Neutron Science (3)
- Physics (3)
- Quantum Computing (5)
- Space Exploration (2)
- Summit (16)
- Sustainable Energy (3)
- Transportation (4)
Media Contacts
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.
A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
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.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
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.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.