Filter News
Area of Research
- (-) Clean Energy (35)
- (-) Supercomputing (21)
- Advanced Manufacturing (3)
- Biology and Environment (10)
- Computer Science (2)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (42)
- Materials Characterization (1)
- Materials for Computing (6)
- Materials Under Extremes (1)
- National Security (8)
- Neutron Science (15)
- Nuclear Science and Technology (2)
News Topics
- (-) Artificial Intelligence (15)
- (-) Materials Science (16)
- (-) Sustainable Energy (24)
- 3-D Printing/Advanced Manufacturing (29)
- Advanced Reactors (3)
- Big Data (2)
- Bioenergy (15)
- Biology (7)
- Biomedical (8)
- Biotechnology (3)
- Buildings (8)
- Chemical Sciences (10)
- Clean Water (1)
- Climate Change (8)
- Composites (5)
- Computer Science (34)
- Coronavirus (8)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (10)
- Energy Storage (28)
- Environment (15)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (12)
- Fusion (1)
- Grid (11)
- High-Performance Computing (13)
- Isotopes (1)
- Machine Learning (8)
- Materials (21)
- Mercury (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (7)
- Net Zero (1)
- Neutron Science (10)
- Nuclear Energy (5)
- Partnerships (8)
- Physics (4)
- Polymers (5)
- Quantum Computing (5)
- Quantum Science (10)
- Renewable Energy (1)
- Security (6)
- Simulation (2)
- Space Exploration (1)
- Summit (15)
- Transformational Challenge Reactor (3)
- Transportation (18)
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