Magnetic nanotechnology, spintronics and integrated inductors, with applications in energy conversion and storage.
End Use/Efficiency: Green Computing
The relatively new research field of green computing pursues energy conservation not just as a commercial advantage, (longer battery life, less weight), but as an environmental goal in itself. Some of the green computing topics studied at Stanford include long-term trends in energy-efficient computing, resource management in large multi-core systems, and data center economics and best practices. Stanford engineers are developing low-power wireless networks, tiny semiconductor lasers for low-energy data interconnects, nano-sized electromechanical relays for ultra-low power computation, and an image and signal processor 20 times more power efficient than conventional processors. They are also working on circuit, architecture and application optimization tools; nanomaterials for energy-efficient transistors, data storage and integrated circuits; and efficient networks for homes and offices.
Featured Reports
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Featured Stanford Researchers
Electrical Engineering
New materials for electronic and optoelectronic devices. Low-cost, thin-film solar using III-V compound semiconductors including III-nitrides. Tiny, highly efficient semiconductor lasers for low-energy data interconnects.
Steyer-Taylor Center for Energy Policy & Finance
Long-term trends in the energy-efficiency of computing. Economics of efficient data centers. Analysis of climate mitigation strategies.
Computer Science, Electrical Engineering
Energy efficient computing based on architectures, runtime environments and parallel computer systems. Resource management in large, multi-core systems. Efficient data centers.
