Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
Filter News
Area of Research
- (-) Materials (128)
- (-) Supercomputing (96)
- Advanced Manufacturing (3)
- Biological Systems (3)
- Biology and Environment (60)
- Building Technologies (3)
- Clean Energy (111)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Fossil Energy (1)
- Fuel Cycle Science and Technology (2)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (15)
- Materials Characterization (2)
- Materials Under Extremes (1)
- National Security (28)
- Neutron Science (58)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (2)
News Topics
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (15)
- Big Data (3)
- Bioenergy (4)
- Biology (4)
- Biomedical (6)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (16)
- Climate Change (12)
- Composites (4)
- Computer Science (17)
- Coronavirus (2)
- Critical Materials (5)
- Cybersecurity (1)
- Decarbonization (6)
- Energy Storage (6)
- Environment (8)
- Exascale Computing (12)
- Frontier (15)
- Fusion (3)
- Grid (3)
- High-Performance Computing (18)
- Irradiation (1)
- Isotopes (8)
- Machine Learning (4)
- Materials (42)
- Materials Science (14)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (3)
- Net Zero (2)
- Neutron Science (11)
- Nuclear Energy (7)
- Partnerships (6)
- Physics (15)
- Polymers (8)
- Quantum Computing (8)
- Quantum Science (6)
- Renewable Energy (1)
- Security (1)
- Simulation (9)
- Software (1)
- Space Exploration (1)
- Summit (8)
- Sustainable Energy (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
For smarter data management and analysis, researchers have developed a low-power neuromorphic device based on spiking neural networks that can quickly and more efficiently analyze and classify data.
To improve models for drilling, hydraulic fracturing and underground storage of carbon dioxide, Oak Ridge National Laboratory scientists used neutrons to understand how water flows through fractured rock.
A novel approach that creates a renewable, leathery material—programmed to remember its shape—may offer a low-cost alternative to conventional conductors for applications in sensors and robotics. To make the bio-based, shape-memory material, Oak Ridge National Laboratory scientists streamlined a solvent-free process that mixes rubber with lignin—the by-product of woody plants used to make biofuels.
A novel approach for studying magnetic behavior in a material called alpha-ruthenium trichloride may have implications for quantum computing. By suppressing the material’s magnetic order, scientists from Oak Ridge National Laboratory and the University of Tennessee observed be...