Filter News
Area of Research
- (-) Supercomputing (53)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (43)
- Biology and Soft Matter (1)
- Clean Energy (43)
- Computational Biology (1)
- Computational Engineering (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (27)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (51)
- Materials for Computing (6)
- National Security (10)
- Neutron Science (22)
- Nuclear Science and Technology (25)
- Quantum information Science (1)
News Type
News Topics
- (-) Biomedical (12)
- (-) Decarbonization (4)
- (-) Frontier (25)
- (-) Mathematics (1)
- (-) Nanotechnology (10)
- (-) Nuclear Energy (3)
- 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)
- Coronavirus (12)
- Cybersecurity (8)
- 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)
- 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)
- Space Exploration (2)
- Summit (35)
- Sustainable Energy (8)
- Transportation (5)
Media Contacts
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.