Nanosystems: Molecular Machinery, Manufacturing, and Computation
"Devices enormously smaller than before will remodel engineering, chemistry, medicine, and computer technology. How can we understand machines that are so small? Nanosystems covers it all: power and strength, friction and wear, thermal noise and quantum uncertainty. This is the book for starting the next century of engineering." - Marvin Minsky
MIT Science magazine calls Eric Drexler "Mr. Nanotechnology." For years, Drexler has stirred controversy by declaring that molecular nanotechnology will bring a sweeping technological revolution - delivering tremendous advances in miniaturization, materials, computers, and manufacturing of all kinds. Now, he's written a detailed, top-to-bottom analysis of molecular machinery - how to design it, how to analyze it, and how to build it. Nanosystems is the first scientifically detailed description of developments that will revolutionize most of the industrial processes and products currently in use.
This groundbreaking work draws on physics and chemistry to establish basic concepts and analytical tools. The book then describes nanomechanical components, devices, and systems, including parallel computers able to execute 1020 instructions per second and desktop molecular manufacturing systems able to make such products. Via chemical and biochemical techniques, proximal probe instruments, and software for computer-aided molecular design, the book charts a path from present laboratory capabilities to advanced molecular manufacturing. Bringing together physics, chemistry, mechanical engineering, and computer science, Nanosystems provides an indispensable introduction to the emerging field of molecular nanotechnology.
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If equilibration continues until the wells that will eventually hold significant
probability are all sharp compared to the initial harmonic well , then the
probability mass associated with each is determined only by its depth , which is
the height of the ...
If n ; = 1 for each set , the system is nonredundant , and the probability that it
remains functional is the product of the probabilities that each of components
remains functional : Pfunc ( system IT exp ( - 1015 Dm ; ) ( 6 . 55 ) i = 1 i = 1 where
m ; is ...
5 probability of being a workable design ( rather than a 1 / M = . 1 probability of
being the “ one true design ” ) . ... Assuming ( for the moment ) independent
probabilities , the probability that all ten options will fail , leaving no workable
choice for ...
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Classical Magnitudes and Scaling Laws
Potential Energy Surfaces
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