Filter News
Area of Research
- (-) Materials (2)
- (-) Supercomputing (4)
- Biological Systems (1)
- Biology and Environment (4)
- Clean Energy (3)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (3)
- Fusion Energy (1)
- Isotopes (3)
- Materials for Computing (1)
- Neutron Science (3)
- Nuclear Science and Technology (1)
News Topics
- (-) Biomedical (3)
- (-) Coronavirus (1)
- (-) ITER (1)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (9)
- Big Data (2)
- Bioenergy (4)
- Biology (2)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (3)
- Composites (2)
- Computer Science (30)
- Critical Materials (1)
- Cybersecurity (4)
- Energy Storage (4)
- Environment (9)
- Exascale Computing (2)
- Frontier (5)
- Fusion (1)
- Grid (1)
- High-Performance Computing (8)
- Isotopes (2)
- Machine Learning (1)
- Materials (6)
- Materials Science (14)
- Microscopy (6)
- Nanotechnology (9)
- National Security (1)
- Neutron Science (6)
- Nuclear Energy (4)
- Physics (3)
- Polymers (1)
- Quantum Computing (4)
- Quantum Science (9)
- Security (2)
- Summit (12)
- Sustainable Energy (5)
- Transportation (3)
Media Contacts
ORNL's Larry Baylor and Andrew Lupini have been elected fellows of the American Physical Society.
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.
On Feb. 18, the world will be watching as NASA’s Perseverance rover makes its final descent into Jezero Crater on the surface of Mars. Mars 2020 is the first NASA mission that uses plutonium-238 produced at the Department of Energy’s Oak Ridge National Laboratory.
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 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, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.