Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
Filter News
Area of Research
- (-) Supercomputing (42)
- Advanced Manufacturing (17)
- Biological Systems (1)
- Biology and Environment (47)
- Building Technologies (3)
- Clean Energy (115)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (8)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (3)
- Isotopes (4)
- Materials (33)
- Materials for Computing (8)
- National Security (23)
- Neutron Science (15)
- Nuclear Science and Technology (8)
- Quantum information Science (8)
- Sensors and Controls (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Biomedical (12)
- (-) Cybersecurity (4)
- (-) Grid (2)
- (-) Machine Learning (10)
- (-) Molten Salt (1)
- (-) Quantum Science (14)
- (-) Sustainable Energy (7)
- Advanced Reactors (1)
- Artificial Intelligence (25)
- Big Data (18)
- Bioenergy (4)
- Biology (8)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (3)
- Climate Change (15)
- Computer Science (68)
- Coronavirus (10)
- Critical Materials (3)
- Decarbonization (4)
- Energy Storage (5)
- Environment (18)
- Exascale Computing (15)
- Frontier (17)
- Fusion (1)
- High-Performance Computing (29)
- Isotopes (1)
- Materials (10)
- Materials Science (12)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (8)
- National Security (4)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (3)
- Physics (4)
- Polymers (2)
- Quantum Computing (15)
- Security (2)
- Simulation (13)
- Software (1)
- Space Exploration (3)
- Summit (28)
- Transportation (5)
Media Contacts
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.