Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
Filter News
Area of Research
- (-) National Security (5)
- (-) Supercomputing (30)
- Advanced Manufacturing (6)
- Biology and Environment (8)
- Building Technologies (1)
- Clean Energy (49)
- Computer Science (2)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (4)
- Fusion Energy (4)
- Isotopes (2)
- Materials (32)
- Materials for Computing (5)
- Neutron Science (11)
- Nuclear Science and Technology (22)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Artificial Intelligence (7)
- (-) Energy Storage (2)
- (-) Grid (3)
- (-) Machine Learning (4)
- (-) Microscopy (2)
- (-) Nuclear Energy (2)
- (-) Quantum Science (9)
- (-) Summit (15)
- Big Data (8)
- Bioenergy (3)
- Biology (1)
- Biomedical (8)
- Chemical Sciences (1)
- Climate Change (1)
- Computer Science (36)
- Coronavirus (9)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (1)
- Environment (4)
- Exascale Computing (2)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (2)
- Isotopes (1)
- Materials (2)
- Materials Science (8)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (4)
- National Security (2)
- Neutron Science (9)
- Physics (3)
- Polymers (2)
- Security (4)
- Sustainable Energy (5)
- Transportation (4)
Media Contacts
The U.S. Department of Energy’s Oak Ridge National Laboratory today unveiled Summit as the world’s most powerful and smartest scientific supercomputer.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
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