Filter News
Area of Research
- Biology and Environment (3)
- Clean Energy (6)
- Computer Science (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (3)
- Materials (16)
- Materials Characterization (1)
- Materials Under Extremes (1)
- National Security (6)
- Neutron Science (4)
- Nuclear Science and Technology (2)
- Sensors and Controls (1)
- Supercomputing (8)
News Topics
- (-) Artificial Intelligence (12)
- (-) Fusion (2)
- (-) Materials Science (7)
- (-) Nanotechnology (4)
- (-) Nuclear Energy (7)
- (-) Partnerships (18)
- (-) Physics (7)
- (-) Security (5)
- 3-D Printing/Advanced Manufacturing (12)
- Advanced Reactors (3)
- Big Data (3)
- Bioenergy (7)
- Biology (7)
- Biomedical (3)
- Biotechnology (3)
- Buildings (3)
- Chemical Sciences (8)
- Climate Change (12)
- Composites (3)
- Computer Science (15)
- Coronavirus (2)
- Critical Materials (1)
- Cybersecurity (4)
- Decarbonization (8)
- Education (3)
- Energy Storage (7)
- Environment (9)
- Exascale Computing (3)
- Frontier (4)
- Grid (3)
- High-Performance Computing (13)
- Isotopes (4)
- Machine Learning (4)
- Materials (28)
- Microscopy (5)
- Molten Salt (1)
- National Security (4)
- Net Zero (2)
- Neutron Science (11)
- Polymers (1)
- Quantum Computing (3)
- Quantum Science (6)
- Renewable Energy (1)
- Simulation (7)
- Summit (4)
- Sustainable Energy (2)
- 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