Filter News
Area of Research
- (-) Supercomputing (19)
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (6)
- Clean Energy (23)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (9)
- Fusion Energy (5)
- Isotopes (3)
- Materials (45)
- Materials for Computing (10)
- National Security (3)
- Neutron Science (36)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (10)
- (-) Biomedical (3)
- (-) Materials Science (4)
- (-) Neutron Science (3)
- (-) Physics (3)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Big Data (4)
- Bioenergy (2)
- Biology (1)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (43)
- Coronavirus (2)
- Critical Materials (1)
- Cybersecurity (4)
- Energy Storage (3)
- Environment (8)
- Exascale Computing (2)
- Frontier (5)
- Grid (1)
- High-Performance Computing (10)
- Machine Learning (1)
- Microscopy (2)
- Nanotechnology (2)
- National Security (1)
- Nuclear Energy (2)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (8)
- Space Exploration (2)
- Summit (16)
- Sustainable Energy (3)
- Transportation (3)
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.
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.
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.
A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.
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.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Using the Titan supercomputer and the Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory, scientists have created the most accurate 3D model yet of an intrinsically disordered protein, revealing the ensemble of its atomic-level structures.
Processes like manufacturing aircraft parts, analyzing data from doctors’ notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energy’s Oak Ridge National Laboratory, artificial intelligence is improving all of these tasks.