Filter News
Area of Research
- (-) Materials (27)
- (-) Supercomputing (32)
- Advanced Manufacturing (5)
- Biology and Environment (8)
- Clean Energy (45)
- Computer Science (1)
- Fusion and Fission (1)
- Isotopes (3)
- Materials for Computing (3)
- National Security (3)
- Neutron Science (9)
- Nuclear Science and Technology (11)
- Quantum information Science (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (7)
- (-) Big Data (6)
- (-) Bioenergy (6)
- (-) Computer Science (30)
- (-) Energy Storage (7)
- (-) Isotopes (5)
- (-) Polymers (4)
- (-) Sustainable Energy (5)
- Advanced Reactors (1)
- Artificial Intelligence (5)
- Biology (1)
- Biomedical (7)
- Chemical Sciences (2)
- Climate Change (1)
- Composites (2)
- Coronavirus (7)
- Critical Materials (2)
- Cybersecurity (1)
- Decarbonization (1)
- Environment (6)
- Exascale Computing (2)
- Grid (3)
- High-Performance Computing (2)
- Machine Learning (3)
- Materials (2)
- Materials Science (27)
- Mathematics (1)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (1)
- Neutron Science (17)
- Nuclear Energy (5)
- Physics (11)
- Quantum Science (11)
- Security (1)
- Summit (12)
- Transformational Challenge Reactor (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