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Cartoon coyote's fall inspires development of new properties of silicon

Date:
February 27, 2018
Source:
University of Surrey
Summary:
Scientists have discovered a new type of silicon that could be used to control light beams in a new kind of photonic chip -- a chipset where information is carried by light beams rather than electrical currents.
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The essence of the technology -- where an object takes a moment to respond to the energy placed upon it -- is a staple of cartoons such as Roadrunner, where characters run off cliffs and spend a moment in mid-air before falling.

Scientists hope that their discovery, detailed in a study published by Nature Photonics, will lead to the development of more exciting technologies such as signal modulators for terahertz (THz) beams -- which is part of the electromagnetic spectrum between visible/infrared light and radio/microwaves.

Silicon is widely used to send microwave signals for mobile communications, but it is very poor at sending visible light signals. The team discovered that the standard impurities that are sprinkled into ordinary computer chips to make transistors can control the flow of THz photons far more efficiently than almost anything else. This has the double benefit of potentially allowing a new method of chip-to-chip communication with silicon, currently only possible with much more expensive materials, but also pushing mobile communications to much higher frequency and allowing the transmission of more data.

The signal modulation effect works by using two or more photons, each of which could individually go straight through the silicon unhindered, and only when they arrive together they get absorbed. The first photon acts like a switch -- its presence or absence determines what will happen to the others. The catch is that the second photon has to be almost simultaneous with the first, meaning that the intensity of the beams must be really high. The researchers tried using THz photons instead of the infrared photons used in all previous attempts, and found that they could get switching with thousands of times lower intensity than ever before.

Professor Ben Murdin from the University of Surrey, said: "It's just like when Wile E. Coyote is chasing the Roadrunner and goes off the edge of a cliff -- there's always a moment before physics wakes up and realises he has too much potential energy and he falls. During this 'coyote time' (as gamers call it) sometimes something else can take effect like a rocket or a stone or a jump. That's exactly how Heisenberg's Uncertainty Principle works here -- there's a little bit of 'coyote time' after the first photon hits in which the molecule doesn't know what energy it's supposed to have, but the more energy it tries to ignore the less the coyote time available.

"We found that with terahertz light silicon's coyote time is much, much longer, meaning this kind of photon switch is far more efficient than anything else we know of. The results show that silicon may have a completely new lease of life, providing new ways to control information with light rather than electrical current, meaning far faster computers and higher bandwidth communications."


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Materials provided by University of Surrey. Note: Content may be edited for style and length.


Journal Reference:

  1. M. A. W. van Loon, N. Stavrias, Nguyen H. Le, K. L. Litvinenko, P. T. Greenland, C. R. Pidgeon, K. Saeedi, B. Redlich, G. Aeppli, B. N. Murdin. Giant multiphoton absorption for THz resonances in silicon hydrogenic donors. Nature Photonics, 2018; 12 (3): 179 DOI: 10.1038/s41566-018-0111-x

Cite This Page:

University of Surrey. "Cartoon coyote's fall inspires development of new properties of silicon." ScienceDaily. ScienceDaily, 27 February 2018. <www.sciencedaily.com/releases/2018/02/180227115601.htm>.
University of Surrey. (2018, February 27). Cartoon coyote's fall inspires development of new properties of silicon. ScienceDaily. Retrieved November 22, 2024 from www.sciencedaily.com/releases/2018/02/180227115601.htm
University of Surrey. "Cartoon coyote's fall inspires development of new properties of silicon." ScienceDaily. www.sciencedaily.com/releases/2018/02/180227115601.htm (accessed November 22, 2024).

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