David Kirkpatrick

November 18, 2008

Latest graphene news — practicality

From KurzweilAI.net — It’s been awhile since I’ve blogged on graphene. For a time there news was coming out hard and fast about the nanomaterial. The latest news comes out of UCLA on a relataively simple method of creating large (well, large in the nanoscale sense) pieces of graphene.

Making Graphene More Practical
Technology Review, Nov. 18, 2008

Researchers at the University of California, Los Angeles, have found a simple way to make large pieces (tens of micrometers wide) of the carbonmaterial graphene that can be deposited on sheets on silicon wafers to make prototype field-effect transistors.

Electrons flow through graphene sheets tens of times faster than they flow in silicon, so graphene could lead to electronic devices that are smaller, faster, and less power-hungry than those made of silicon. Thin and transparent, graphene is also a promising replacement for the indium tin oxide electrodes and the silicon thin-film transistors used in flat-panel displays.

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July 23, 2008

Paper-based transistors

Filed under: Science, Technology — Tags: , , , — David Kirkpatrick @ 4:55 pm

Very interesting tech news on the first paper-based transistors:

Portuguese researchers have created the first paper-based transistors. To be more precise, they’ve made the first field effect transistors (FET) with a paper interstrate layer. According to the research team, these new transistors offer the same level of performance as ’state-of-the-art oxide based thin film transistors (TFTs) produced on glass or crystalline silicon substrates.’ Possible applications for these paper-based transistors include new disposable electronics devices, such as paper displays, smart labels, bio-applications or RFID tags. But read more…

First paper interstrate thin film transistors

You can see above the first paper interstrate thin film transistors developed by the Portuguese team. (Credit: CENIMAT) Here is a link to a larger version of this picture.

(Hat tip: KurzweilAI.net)