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Posted on December 30, 2008 by  & 

IBM scientists develop world's fastest graphene transistor

IBM Research has achieved a frequency of 26 GHz for graphene transistors with a gate length of 150 nm making it the highest frequency obtained for graphene so far.
 
Graphene is a special form of graphite, consisting of a single layer of carbon atoms packed in honeycomb lattice, similar to an atomic scale chicken wire. Its unusual electronic properties may eventually lead to vastly faster transistors than any transistors achieved so far.
 
The operation speed of a transistor is determined by the size of the device and the speed at which electrons travel. The size dependence was one of the driving forces to pursue ever-shrinking Si transistors in semiconductor industries. A key advantage of graphene lies in the very high electron speed with which electrons propagate in it, essential for achieving high-speed, high-performance transistors.
 
Now, IBM scientists have fabricated nanoscale graphene field-effect transistors and demonstrated the operation of graphene transistors at the GHz frequency range. More importantly, the scaling behavior, i.e. the size dependence of the performance of the graphene transistors was established for the first time. The team found that the operation frequency increases with diminishing device dimension and achieved a cut-off frequency of 26 GHz for graphene transistors with a gate length of 150 nm - the highest frequency obtained for graphene so far.
 
 
The researchers expect that by improving the gate dielectric materials, the performance of these graphene transistors could be further enhanced. They expect that THz graphene transistors could be achieved in an optimized graphene transistor with a gate length of 50 nanometers. In the next phase, the IBM researchers also plan to pursue RF circuits based on these high-performance transistors.
 
The report on this work, entitled Operation of Graphene Transistors at GHz Frequencies was published in the journal Nano Letters.
 
 
 
Source: IBM Research
Source of top image: IBM Research
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