Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
Filter News
Area of Research
- (-) Clean Energy (95)
- (-) Supercomputing (97)
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (61)
- Building Technologies (2)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (12)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (2)
- Isotopes (5)
- Materials (55)
- Materials for Computing (13)
- Mathematics (1)
- National Security (23)
- Neutron Science (24)
- Nuclear Science and Technology (3)
- Quantum information Science (9)
News Topics
- (-) Artificial Intelligence (41)
- (-) Biomedical (22)
- (-) Exascale Computing (23)
- (-) Machine Learning (19)
- (-) Mathematics (3)
- (-) Polymers (13)
- (-) Quantum Science (25)
- (-) Sustainable Energy (71)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (7)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Climate Change (35)
- Composites (17)
- Computer Science (107)
- Coronavirus (25)
- Critical Materials (12)
- Cybersecurity (14)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Fossil Energy (2)
- Frontier (28)
- Fusion (2)
- Grid (42)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (1)
- Materials (45)
- Materials Science (40)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (11)
- Net Zero (4)
- Neutron Science (20)
- Nuclear Energy (11)
- Partnerships (12)
- Physics (7)
- Quantum Computing (19)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (43)
- Transformational Challenge Reactor (3)
- Transportation (69)
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