Katy Bradford: Cassette approach offers compelling construction solution
Filter News
Area of Research
- (-) Nuclear Science and Technology (13)
- (-) Supercomputing (20)
- Advanced Manufacturing (2)
- Biology and Environment (6)
- Clean Energy (20)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (1)
- Fusion Energy (3)
- Isotopes (1)
- Materials (10)
- Materials for Computing (2)
- National Security (4)
- Neutron Science (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
News Type
News Topics
- (-) Bioenergy (3)
- (-) Biomedical (7)
- (-) Computer Science (17)
- (-) Frontier (1)
- (-) Grid (1)
- (-) Machine Learning (2)
- (-) Nuclear Energy (10)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (4)
- Artificial Intelligence (3)
- Big Data (2)
- Biology (1)
- Chemical Sciences (1)
- Climate Change (1)
- Coronavirus (4)
- Critical Materials (1)
- Decarbonization (1)
- Energy Storage (1)
- Environment (4)
- Fusion (2)
- High-Performance Computing (1)
- Isotopes (4)
- Materials (2)
- Materials Science (4)
- Microscopy (2)
- Molten Salt (4)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (7)
- Physics (2)
- Polymers (2)
- Quantum Science (4)
- Summit (10)
- Sustainable Energy (4)
- Transformational Challenge Reactor (1)
- Transportation (2)
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