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. |
From inside the book
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... analysis . In building a complex analysis , one must take care to ensure that each required assumption is reliable , lest the over- all analysis prove weak . Relative to engineering , theoretical applied science favors designs with ...
... analysis will bring down a large ( and costly ) intellectual structure . Sacrificing performance can help by permitting simpler and hence more reliable analyses . By attempting to leave room for advance , it can reduce the likelihood of ...
... analysis ( or for a series of experi- ments ) than to accept the cost and performance penalties of enormous safety margins . In theoretical applied science the incentives differ : analysis is the main cost , experiments are unavailable ...
Contents
Classical Magnitudes and Scaling Laws | 23 |
Potential Energy Surfaces | 36 |
Molecular Dynamics | 71 |
Copyright | |
26 other sections not shown