Stanford University researchers say they have developed one of the most complex carbon nanotube circuits to date, in the form of a hand-shaking robot with a sensor-interface circuit built from carbon nanotubes. The demonstration carbon nanotube circuit converts an analog signal from a capacitor into a digital signal that can be read by a microprocessor.
The system also shows that nanotube transistors can be made at high yields, says Stanford professor Subhasish Mitra.
Although the nanotube circuit is still relatively slow, the work is an important demonstration of the potential of carbon nanotube computing technology.
"This shows that carbon nanotube transistors can be integrated into logic circuits that perform at low voltage," says IBM's Aaron Franklin.
The Stanford researchers developed an error-tolerant circuit design that enables them to build circuits that work even when the starting materials are flawed. "We want to build up the circuit complexity, then go back to improving the building methods, then make more complex circuits," says Stanford professor Philip Wong.
From Technology Review
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