Filter News
Area of Research
- (-) Supercomputing (7)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (14)
- Clean Energy (31)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Isotopes (3)
- Materials (5)
- Materials for Computing (2)
- National Security (2)
- Neutron Science (4)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (2)
News Topics
- (-) Biomedical (2)
- (-) Security (1)
- (-) Space Exploration (2)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (4)
- Artificial Intelligence (6)
- Big Data (4)
- Biology (1)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (26)
- Coronavirus (2)
- Energy Storage (2)
- Environment (8)
- Exascale Computing (1)
- Fusion (3)
- High-Performance Computing (8)
- Materials Science (4)
- Microscopy (1)
- Nanotechnology (2)
- Neutron Science (2)
- Nuclear Energy (6)
- Physics (1)
- Quantum Computing (2)
- Quantum Science (3)
- Summit (8)
- Sustainable Energy (1)
Media Contacts
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.
The type of vehicle that will carry people to the Red Planet is shaping up to be “like a two-story house you’re trying to land on another planet.
Using the Titan supercomputer at Oak Ridge National Laboratory, a team of astrophysicists created a set of galactic wind simulations of the highest resolution ever performed. The simulations will allow researchers to gather and interpret more accurate, detailed data that elucidates how galactic winds affect the formation and evolution of galaxies.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.