Moore’s Law states that the number of transistors on a chip doubles every eighteen months. However current silicon technologies are approaching the limits imposed by quantum mechanics, which will stop Moore’s Law in its tracks within 20 years. New materials and techniques must be found to complement and increase the capabilities of the current silicon technologies to maintain the growth and profitability of the semi-conductor industry.
Semiconducting carbon nanotubes can be doped like silicon, and are one of the best candidate materials for replacing current semiconductors. A nanotube is about 1/500th the size of a current transistor and has excellent electrical properties. However, current production methods create a mixture of nanotubes with both semiconducting and metallic properties that makes them expensive and difficult to use. A simple method for producing clean, well-dispersed, high purity semiconducting carbon nanotubes would have significant commercial benefits.
The Oxford Invention is a technique for purifying samples of carbon nanotubes to remove both general metallic and graphitic contamination. A product containing more than 90% semiconducting nanotubes can already be produced, and further increases in the proportion of semiconducting nanotubes in the final product are expected as development continues. The technology can be used for both single-walled nanotubes and multi-walled nanotubes.
Kim Bruty | alfa
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The Fraunhofer IWS Dresden and Technische Universität Dresden inaugurated their jointly operated Center for Additive Manufacturing Dresden (AMCD) with a festive ceremony on February 7, 2017. Scientists from various disciplines perform research on materials, additive manufacturing processes and innovative technologies, which build up components in a layer by layer process. This technology opens up new horizons for component design and combinations of functions. For example during fabrication, electrical conductors and sensors are already able to be additively manufactured into components. They provide information about stress conditions of a product during operation.
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