Filter News
Area of Research
- (-) Supercomputing (55)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (46)
- Clean Energy (56)
- Computational Biology (1)
- Computational Engineering (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (29)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (28)
- Materials for Computing (5)
- National Security (9)
- Neutron Science (18)
- Nuclear Science and Technology (26)
- Quantum information Science (1)
News Type
News Topics
- (-) Biomedical (12)
- (-) Coronavirus (12)
- (-) Frontier (25)
- (-) Mathematics (1)
- (-) Nuclear Energy (3)
- (-) Space Exploration (2)
- (-) Sustainable Energy (8)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (33)
- Big Data (14)
- Bioenergy (9)
- Biology (10)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (4)
- Climate Change (15)
- Computer Science (76)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (19)
- Grid (4)
- High-Performance Computing (31)
- Isotopes (1)
- Machine Learning (12)
- Materials (12)
- Materials Science (14)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (7)
- Quantum Computing (15)
- Quantum Science (20)
- Security (5)
- Simulation (11)
- Software (1)
- Summit (35)
- Transportation (5)
Media Contacts
A team of scientists led by Oak Ridge National Laboratory have discovered the specific gene that controls an important symbiotic relationship between plants and soil fungi, and successfully facilitated the symbiosis in a plant that
OAK RIDGE, Tenn., May 7, 2019—The U.S. Department of Energy today announced a contract with Cray Inc. to build the Frontier supercomputer at Oak Ridge National Laboratory, which is anticipated to debut in 2021 as the world’s most powerful computer with a performance of greater than 1.5 exaflops.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
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.