Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
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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...