Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (2)
- Clean Energy (9)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Materials (12)
- Materials for Computing (2)
- National Security (3)
- Neutron Science (3)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (14)
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (6)
- (-) Clean Water (1)
- (-) Climate Change (1)
- (-) Cybersecurity (8)
- (-) Frontier (5)
- (-) Materials Science (15)
- (-) Nuclear Energy (5)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (14)
- Big Data (1)
- Bioenergy (8)
- Biology (5)
- Biomedical (7)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (4)
- Composites (5)
- Computer Science (24)
- Coronavirus (4)
- Critical Materials (2)
- Decarbonization (1)
- Energy Storage (10)
- Environment (8)
- Exascale Computing (1)
- Fusion (7)
- Grid (4)
- High-Performance Computing (5)
- Isotopes (7)
- ITER (1)
- Machine Learning (2)
- Materials (10)
- Microscopy (6)
- Nanotechnology (9)
- National Security (3)
- Neutron Science (15)
- Physics (6)
- Polymers (3)
- Quantum Computing (3)
- Quantum Science (12)
- Summit (10)
- Sustainable Energy (11)
- Transportation (6)
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