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Lecture - St Edmund's College - University of Cambridge

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e lots <strong>of</strong> people around who, for at least forty years, have been working in<br />

nanotechnology without ever knowing it and they’re grateful now to know it.<br />

Our bodies have used nanotechnology all our lives and there are some<br />

remarkable kinds <strong>of</strong> nanotechnology going on in the body. Your stomach works by<br />

marvellous little nanotechnology motors pumping stuff in and out from place to place<br />

inside your body. Our muscles, anything that we move when we want locomotion, are<br />

a kind <strong>of</strong> nanotechnology – this little movie illustrates the way that myosin works when<br />

your muscles contract and expand. Many <strong>of</strong> the mechanisms were discovered by<br />

Andrew Huxley, who was working in London but living in Grantchester. Those things<br />

are found in the natural world, found in our bodies, and some people see amazing<br />

design in them; I’ll come back to that later. But <strong>of</strong> course nanotechnology primarily<br />

means what we can do and ways that we can engineer things and that has gone from<br />

strength to strength in recent years.<br />

This diagram shows an example <strong>of</strong> using a beam <strong>of</strong><br />

gallium ions to cut away a groove in a hightemperature<br />

superconductor. This is a scale <strong>of</strong> about<br />

five hundred nanometres and you can see that the<br />

ion beams are milling this material with terrific<br />

precision; these can be used to do machining <strong>of</strong><br />

materials on a scale down to about fifty nanometres.<br />

A breakthrough in the field came in 1990 when Don<br />

Eigler, working at IBM laboratories in Almadon in<br />

California, moved individual xenon atoms around on<br />

a surface and, because he was working for IBM and perhaps wanted to get a pay rise,<br />

he thought a good way to demonstrate it would be to write the IBM logo. Each <strong>of</strong><br />

these is an individual xenon atom that he’s moved to the place where he wanted it to<br />

be. That means that fifteen years ago the stage was reached where it was possible to<br />

move atoms on a surface to a location <strong>of</strong> your choice.<br />

One <strong>of</strong> the great drivers for nanotechnology is<br />

the progress that’s being made with computers.<br />

Babbage’s original calculating machine stood about a<br />

metre tall, and that has progressed to the transistors<br />

and now the integrated circuits that have been in use<br />

for thirty or forty years in computers. The question is<br />

how much smaller can you go on making them? This<br />

is a little device that was made in Tsukuba in Japan,<br />

a single electron transistor made with titanium dioxide on a titanium surface. Even<br />

this picture is about ten years old now.<br />

The head <strong>of</strong> Intel, Gordon Moore, observed that computers were getting<br />

smaller and smaller faster and faster and that the number <strong>of</strong> transistors on a chip was<br />

doubling roughly every 18 months. His observation has become known as “Moore’s<br />

Law”; it’s amazing the extent to which that trend has been maintained. Moore’s Law<br />

is a wonderful thing to show to management because all you do is put a linear scale <strong>of</strong><br />

years along here and a logarithmic scale <strong>of</strong> almost anything you like to do with<br />

computing up there, and you’ll probably get a straight line. If it’s something you want<br />

more and more <strong>of</strong> it’ll be a straight line going up, and if it’s something you want less<br />

and less <strong>of</strong>, like the number <strong>of</strong> electrons per device, you’ll find it coming down. This<br />

is the number <strong>of</strong> electrons per device on a logarithmic scale. By about 2015 or so we’ll<br />

be getting down to one electron per device. How do you get smaller than that?<br />

You’re hitting the regime where the quantization <strong>of</strong> matter is going to make a<br />

difference and that’s either going to stop you making further progress, or it may turn<br />

out to be something that you can exploit.<br />

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