Nanotech Motors, Biotransistors, DNA Fractals
FleaPlus writes "The American Institute of Physics has a news bulletin describing a couple of interesting nanotech advances. The first is the smallest electric motor in the world, made by Alex Zettl's group at UC Berkeley. The second is a single-protein wet biotransistor. Additionally, Technology Research News reports on algorithmic self-assembly of DNA Sierpinski triangles, by Erik Winfree's group at Caltech."
Wasn't there an article about mini-turbines also, that researchers were planning on using to power small devices, I'm wondering if these nano-motors could be used in the same regard.
Maybe I should go RTFA now.
I am not sure if I understand the power density claims. Here is a simple calculation. 20 microwatts in cube of 200nm x 200nm x 200nm will be 20 microwatts in 8 x 10^(-15) cm^3 volume. That will be a power density of 2.5 x 10^9 Watts/cm^3.
Sun's fusion power density is only ~ 2.5x10^(-4) Watts/cm^3 with core temperature around 15.7 x 10^6 K. I can understand that we wouldn't be generating the heat at peak density, but if we generate that high power desnity in nanomechanical system for even any reasonable time - wouldn't it just evaporate unless we find a very fast way of removing the power efficiently ?
At Cornell we already made the Nanoguitar and Nano saxophone. Yes we were working on the nanodrums these days. No applications for auditions, we use very fast pulse lasers only :)
At first, I thought the DNA assembly-Sierpinski Triangle story was particularly interesting, as a link between real world information storage and the usually unworldly area of fractal geometry. On following the story, it turns out that the error rate is simply enormous (1 to 10%). DNA, in normal use, works about a billion times more reliably than it does here.
You could probably coax DNA to assemble into face centered cubic crystals with a much lower error rate than that. Hell, you might be able to get little figures of Snoopy and Garfield more reliably than these Sierpinski Triangles. This is like proving you could workably rebuild the Golden Gate bridge from Mayonaise and save the tax-payers a fortune, for sufficiently low values of "workable","fortune", and probably "Mayo".
Who is John Cabal?
The question is will we get to the point where our brains just can't take it? Will we have to pass such things onto computers, or find a way to enhance our brains to cope with it?
See, I take the opposite view on this. I feel that technology is actually making life a lot easier for our brains. Perhaps not for all of us, but take an average person. You can effectively run much of your life on autopilot. Driving a car, following mindless rules, technology providing cues and such. Really, many of the things that used to occupy time can now be done through automation - or at least are 'outsourced'. I'm of course looking at the middle-class of North America, but still. I think its hard to make a case that the average citizen is overworked and having trouble coping with technology.
Certainly there are cases of people feeling overwhelmed, but I think they are a minority - vocal, perhaps - but still a minority.
"There's no success like failure, and failure's no success at all."
- Bob Dylan
Ned Seeman's NYU lab produced algorithmic self-assembling Wang tiles for cumulative XOR computation a couple of years ago. The application was inspired by suggestions by Winfree that their then-current system, could accomplish the computation. And it has. Glad to see Winfree continuing to explore this cutting edge.
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make install -not war
Guess I should have staid in microbiology instead of going to Art School. I did these Sierpinski sieve based pieces way back then.
Glad to see someone doing something a little more significant with the idea.