Katy Bradford: Cassette approach offers compelling construction solution
Filter News
Area of Research
News Type
News Topics
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (12)
- (-) Composites (4)
- (-) Computer Science (20)
- (-) Environment (16)
- (-) Grid (7)
- (-) Machine Learning (4)
- (-) Nuclear Energy (10)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (18)
- Big Data (3)
- Bioenergy (15)
- Biology (13)
- Biomedical (5)
- Biotechnology (5)
- Buildings (7)
- Chemical Sciences (12)
- Clean Water (1)
- Climate Change (13)
- Coronavirus (3)
- Critical Materials (5)
- Cybersecurity (4)
- Decarbonization (12)
- Education (3)
- Energy Storage (13)
- Exascale Computing (3)
- Frontier (4)
- Fusion (3)
- High-Performance Computing (13)
- Hydropower (1)
- Irradiation (1)
- Isotopes (5)
- Materials (33)
- Materials Science (11)
- Mercury (2)
- Microscopy (6)
- Molten Salt (4)
- Nanotechnology (8)
- National Security (4)
- Net Zero (2)
- Neutron Science (19)
- Partnerships (18)
- Physics (8)
- Polymers (4)
- Quantum Computing (6)
- Quantum Science (8)
- Renewable Energy (1)
- Simulation (9)
- Space Exploration (1)
- Summit (4)
- Sustainable Energy (8)
- Transportation (16)
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