Filter News
Area of Research
- (-) Supercomputing (27)
- Advanced Manufacturing (5)
- Biology and Environment (22)
- Building Technologies (1)
- Clean Energy (90)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Fusion and Fission (7)
- Fusion Energy (4)
- Isotopes (1)
- Materials (40)
- Materials for Computing (15)
- Mathematics (1)
- National Security (6)
- Neutron Science (18)
- Nuclear Science and Technology (8)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (8)
- (-) Climate Change (4)
- (-) Grid (2)
- (-) Materials Science (10)
- (-) Sustainable Energy (5)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (4)
- Big Data (8)
- Bioenergy (3)
- Biology (2)
- Biomedical (9)
- Buildings (1)
- Chemical Sciences (2)
- Computer Science (44)
- Coronavirus (10)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (3)
- Environment (10)
- Exascale Computing (2)
- Frontier (4)
- Fusion (1)
- High-Performance Computing (12)
- Isotopes (1)
- Machine Learning (5)
- Materials (2)
- Mathematics (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (2)
- Neutron Science (10)
- Nuclear Energy (1)
- Physics (3)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (11)
- Security (1)
- Summit (18)
Media Contacts
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.
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.
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 international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
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.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.