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Add light to speed up computing

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Elelectronic and optical properties on a single electronic chip could be a break­through in making the ideal computer a reality

Every second, your computer must process bil­lions of com­pu­ta­tional steps to pro­duce even the sim­plest out­puts. Imagine if every one of those steps could be made just a tiny bit more effi­cient. "It would save precious nanoseconds," says North Eastern University assistant pro­fessor of physics Swastik Kar.

Kar and his col­league Yung Joon Jung, an asso­ciate pro­fessor in the Depart­ment of Mechan­ical and Indus­trial Engi­neering say they have devel­oped a series of novel devices that do just that.

Last year, the inter­dis­ci­pli­nary duo com­bined their expertise - Kar's in graphene, a carbon-"‹"‹based mate­rial known for its strength and con­ductivity, and Jung's in the mechanics of carbon nan­otubes, which are nanometre-"‹"‹sized rolled up sheets of graphene - to unearth a phys­ical phe­nom­enon that could usher in a new wave of highly effi­cient electronics.

They dis­cov­ered that light-"‹"‹induced elec­trical cur­rents rise much more sharply at the inter­sec­tion of carbon nan­otubes and sil­icon, com­pared to the inter­sec­tion of sil­icon and a metal, as in tra­di­tional pho­to­diode devices.

"That sharp rise helps us design devices that can be turned on and off using light," Kar explains.

This finding has major implications for per­forming com­pu­ta­tions, which, in simple terms, also rely on a series of on-"‹"‹off switches. But in order to access the valuable information that can be stored on these switches, it must also be transferred to and processed by other switches. "People believe that the best com­puter would be one in which the pro­cessing is done using elec­trical sig­nals and the signal transfer is done by optics," Kar adds.

This isn't too surprising since light is extremely fast. Kar and Jung's devices which are the first to integrate electronic and optical properties on a single electronic chip represent a critical break­through in making this dream computer a reality.

The computational modelling of these junctions were performed in close collaboration with the group of Young-"‹"‹Kyun Kwon, a professor at Kyung Hee University, in Seoul, Korea.

In the new paper, the team presents three such new devices. The first is a so "‹"‹called AND-"‹"‹gate, which requires both an electronic and an optical input to generate an output. This switch only triggers if both elements are engaged.

The second device, an OR-"‹"‹gate, can gen­erate an output if either of two optical sen­sors is engaged. This same configuration can also be used to con­vert digital signals into analogue ones, an impor­tant capa­bility for actions such as turning the dig­ital con­tent of an MP3 file into actual music.

Finally, Kar and Jung also built a device that works like the front-"‹"‹end of a camera sensor. It con­sists of 250,000 miniature devices assembled over a centimetre-"‹"‹by-"‹"‹centimetre surface. While this device would require more integration to be fully viable, it allowed the team to test the reproducibility of their assembly process.

"Jung's method is a world-"‹"‹class technique," Kar says. "It has really enabled us to design a lot of devices that are much more scalable."

While computers process billions of computational steps each second, improving their capability of performing those steps, Kar continues, begins with the "demonstration of improving just one." Which they say is exactly what they've done.

This entry was posted in Science & Technology and tagged academic journals, faculty, graphene. This article is based on one written by Angela Herring, the science writer for the Northeastern news team.

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