Plasmonics Takes a Step Closer to Real-World Applications

Researchers develop a switch promising energy efficient, fast, compact plasmonic devices

2 min read
This artistic rendering magnifies a switch researchers have developed within a computer chip to control for loss of photons when light is reduced to a nanoscale. 
Image: Nathaniel Kinsey/Virginia Commonwealth University

While the field of plasmonics may sound esoteric, it is based on some fairly straightforward physics and, when applied to devices, could alter photonics dramatically. It involves exploiting the waves of electrons—known as surface plasmons—that are triggered when light (photons) strikes a metal surface. The length of these plasmon waves is much shorter than the wavelengths of light, making it possible to use light indirectly in the very small dimensions of today’s integrated circuits.

By transforming wavelengths of light into waves of electrons, it has become possible for scientists to merge the speed of optics with the dimensions of electronic devices. However, plasmonics has remained mired in a proof-of-concept state despite many practical devices having been experimentally demonstrated for on-chip circuitry.

Now, an international team of researchers has developed a switch for plasmonic devices that could eventually lead to a CMOS-compatible material platform for making practical plasmonic circuits.

In research described in the journal Nature, researchers at Purdue University in collaboration with those from ETH Zürich, the University of Washington, and Virginia Commonwealth University, have created a switch in the form of a ring modulator for a plasmonic-based circuit that uses resonance—or a vibration—to control whether photons interact with surface plasmons, or not. This switch should overcome a key problem for these circuits: the light used within them can be absorbed by surface plasmons—a property known as “loss.”

In the on-state mode, the resonator resonates at a wavelength different from that of the signal (light) wave, according to Alexandra Boltasseva, a professor at Purdue University, who was a co-author of the research. In this mode, the signal wave does not couple into the resonator, and passes through a silicon waveguide without losses.

In the off-state mode, the refractive index of the polymer in the ring is changed. Now the ring resonates at the same frequency as the source signal, and the light moves into the resonator, where plasmonic losses dampen the resonance of the resonator.

“One of the challenges in the field of plasmonics is the ohmic losses [losses from resistance] of the metals, which typically give the impression that any plasmonic device is bound to be very lossy,” said Boltasseva. “In our research, we show that by clever engineering, these losses can be bypassed, or even used to our advantage.”

For this device, the on-state mode is purely photonic—meaning it’s not based on a plasmonic effect—resulting in low loss. In the off-state mode, it is plasmonic.

The next step in the research, according to Boltasseva, will be to make similar devices using CMOS-compatible materials that have optical properties similar to those of gold, and which are durable, stable at high temperatures, and cheap.

Boltasseva added: “Making fast and efficient electro-plasmonic modulators out of titanium nitride will be the next big step in developing practical plasmonic circuits integrated with silicon photonic devices.”

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3 Ways 3D Chip Tech Is Upending Computing

AMD, Graphcore, and Intel show why the industry’s leading edge is going vertical

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A stack of 3 images.  One of a chip, another is a group of chips and a single grey chip.
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A crop of high-performance processors is showing that the new direction for continuing Moore’s Law is all about up. Each generation of processor needs to perform better than the last, and, at its most basic, that means integrating more logic onto the silicon. But there are two problems: One is that our ability to shrink transistors and the logic and memory blocks they make up is slowing down. The other is that chips have reached their size limits. Photolithography tools can pattern only an area of about 850 square millimeters, which is about the size of a top-of-the-line Nvidia GPU.

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