September 4, 2010

Comments Off on In other news: shrinking computer chips, string theory

In other news: shrinking computer chips, string theory

This week two interesting papers have been published that I did not get around to highlight here. In terms of topic they could not be more different, one about a possible new data storage material, and the other one about string theory!

The next big thing in computing could be silicon!

A new memory element made from silicon oxide (SiOx) between two silicon contacts. It promises a silicon-compatible non-volatile memory device. Reprinted with permission from Nano Letters DOI: 10.1021/nl102255r. Copyright 2010 American Chemical Society.

It is not often that advances in condensed matter physics are highlighted on the front page of the New York Times, but the possibility of a new silicon memory technology was compelling enough it seems. The New York Times story is a bit short on details, but one of the authors of the paper published in Nano Letters, Douglas Natelson from Rice University in Houston, describes details of the work on his blog.

What Doug and his colleagues have discovered is that by applying a sufficiently high voltage to an insulating silicon oxide the material suddenly becomes conducting. Increase the voltage further and the devices becomes insulating again. The effect is very pronounced and fully reversible for at least 10,000 cycles.  What happens during the initial switching is that electrochemical processes lead to the formation of electrically conducting silicon nanocrystals within the oxide. The nanocrystals are close together so that electrons can easily hop from one to the other so that the device becomes conducting. At even higher voltages the device becomes insulating again as heating effects mean that probably some of the silicon oxidizes again.

The channels between the conducting silicon nanocrystals are only 5 nanometers wide. This suggests that memory devices could be fabricated that are much smaller than present memory devices with sizes of a few tens of nanometers. The device design is really simple. Switching occurs through the application of voltage pulses, which requires only two wires: one input and one output. Moreover, the fabrication of silicon oxide is fully compatible with present silicon technology. And in comparison to the silicon chips in your computer this memory device is non-volatile, it doesn’t lose the information when the computer is turned off. Rather, it behaves more like the flash memory used in solid-state hard drives.

Obviously, a lot of work is required to bring this to the market. At the same time, conceptually this memory effect is somewhat related to that memristor devices. The same New York Times article mentions how Hewlett-Packard is in the process of developing memristor memory chips, so prospects seem realistic.

Reference:
Yao, J., Sun, Z., Zhong, L., Natelson, D., & Tour, J. M. (2010). Resistive Switches and Memories from Silicon Oxide Nano Letters DOI: 10.1021/nl102255r

Could string theory be proven experimentally?

One of the geometrical objects studied in string theory. The image shows a three-dimensional projection of this six-dimensional object. Image by Lunch via Wikimedia Commons.

String theory promises nothing less than to unify the most fundamental concepts in physics, quantum physics and general relativity. In string theory fundamental particles like electrons are not billiard ball-like particles but vibrating strings that can be imagined as little rubber bands.

Unfortunately, string theory is not nearly as straightforward as this simple picture may suggest. The mathematical description of these strings is very challenging and requires more than the four dimensions we know from our universe (space, time). Indeed, most string theories are based on ten-dimensional spaces. To explain the fact that we observe only four of them, one has to imagine the remaining dimensions to be reduced so that they cannot be observed. It is as if you compress a cubic object in one direction until it almost looks like a flat sheet — effectively you see only two dimensions.

One of the biggest problems of string theory is, however, that it cannot be proven experimentally. Or so we thought. In a Physical Review Letters paper Michael Duff and colleagues from Imperial College London claim to have found an experimental proof. They realized that an identical mathematical formulation describes so-called quantum entanglement experiments with single particles of light, photons, as well as black holes. According to the Imperial College press release Duff had this idea at a conference when listening to a talk on entanglement. “I suddenly recognised his formulae as similar to some I had developed a few years earlier while using string theory to describe black holes. When I returned to the UK I checked my notebooks and confirmed that the maths from these very different areas was indeed identical.”

I cannot claim to understand much about Duff’s paper, but it seems that experiments on the entanglement of four photons should be able to replicate certain properties of black holes — if string theory is correct. String theory is controversial, and I am sure this won’t be the last word on the topic. But I am sure somewhere someone is already planning such entanglement experiments. It is too tempting.

Reference:
L. Borsten, D. Dahanayake, M. J. Duff, A. Marrani, & W. Rubens (2010). Four-qubit entanglement from string theory Phys.Rev.Lett.105:100507,2010 arXiv: 1005.4915v2

September 1, 2010

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The thing with graphene transistors

Graphene is one of the hottest research areas in nanotechnology, and it may seem slightly surprising it took me a month to write my first blog post on the topic. That moment has now come, with the advance publication of a Nature paper that presents highly attractive graphene transistor, even though in my humble opinion the approach taken seems not the most promising for future highly integrated devices.

There are many reasons why graphene gets researchers so excited. The stability of this single layer of carbon atoms is one of the reasons, promising tough composite materials with increased mechanical strength. The unusual electronic properties that in some respect resemble that of relativistic particles is another. And last but not least, the fact that electrons can travel ballistic, without hitting carbon atoms, for long distances in the micrometer range is another. All these contribute to graphene’s success.

Schematic of the device where a nanowire acts as gate for a graphene transistor. Reprinted by permission from Macmillan Publishers Ltd. Nature (2010). doi:10.1038/nature09405

Two years ago I wrote a feature in New Scientist where I focussed on the potential of graphene to replace silicon logic. The piece is now behind a pay wall, but when talking to Andre Geim at the time, a pioneer in the field, he told me that graphene is uniquely suited to scale down to device dimensions impossible to achieve with silicon. Any transistor needs to support an electric current, that is how you read out its status. However, if you shrink the size of a transistor to only a few nanometers, this electric current will flow across only a small number of atomic bonds. Silicon bonds might not be able to sustain such high current densities. Not so graphene. “The bonds between the carbon atoms in graphene are very strong and can carry exceptionally high currents,” said Geim back then.

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August 31, 2010

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Solar cells brought into shape

Photo by Scott Robinson (Clearly Ambiguous) via flickr.

Solar energy is a huge market and any improvement to the efficiency of solar cells has a significant impact. In 2008, worldwide photovoltaic solar energy production was about 5 gigawatts, and this is expected to rise to 15 gigawatts in 2015. To put this figure in context, a nuclear reactor produces around 1 to 1.5 gigawatts of electricity.

The overall conversion efficiency of the best solar cell devices, with complex designs that include multiple materials, reaches up to about 50%. For more common silicon-based solar cells efficiencies are around 20%, although commercial photovoltaic panels achieve even less than that. Any enhancement in solar cell efficiency, whether it is in terms of costs or in terms of efficiency, is therefore highly desirable and significant. If all photovoltaic cells that produce those 5 gigawatts of energy were only 5% more efficient, for example with 21% conversion efficiency instead of 20%, it would result in an increase in energy production equivalent to about 250 megawatts.

Another issue is cost. Bulk solar cells are better at catching more sunlight, but use more material and therefore cost a lot more than thin-film films. Albert Polman, Harry Atwater and colleagues have now developed a solar cell design that enhances the power efficiency of thin solar cells. In their study published in Optics Express they are able to enhance the efficiency of a 340 nanometer thick silicon solar cell by 27% when compared to a regular thin-film cell.

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