Filter News
Area of Research
- (-) Neutron Science (17)
- (-) Supercomputing (61)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (9)
- Clean Energy (29)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (9)
- Fusion Energy (2)
- Isotopes (1)
- Materials (29)
- Materials for Computing (2)
- National Security (12)
- Nuclear Science and Technology (4)
- Quantum information Science (6)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (12)
- (-) Big Data (12)
- (-) Biomedical (16)
- (-) Computer Science (59)
- (-) Microscopy (3)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (2)
- Bioenergy (8)
- Biology (1)
- Chemical Sciences (1)
- Clean Water (1)
- Climate Change (1)
- Composites (1)
- Coronavirus (10)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (5)
- Environment (11)
- Exascale Computing (4)
- Frontier (3)
- Fusion (1)
- Grid (3)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (5)
- Materials (2)
- Materials Science (15)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (1)
- Neutron Science (48)
- Nuclear Energy (5)
- Physics (9)
- Polymers (3)
- Quantum Science (16)
- Space Exploration (2)
- Summit (24)
- Sustainable Energy (6)
- Transportation (5)
Media Contacts
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the