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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Estimates of tunneling transition rates for a particle in a well bounded by a barrier
are derived by multiplying the barrier transmittance T by a suitable frequency
factor, such as (ol2n (for a harmonic well) or the round-trip traversal time (for a ...
Within the bounds of the kinetic- decoupling model (allowing free equilibration
until some time after energy barriers appear), there exists a decoupling time that
maximizes the error rate. In the sinusoidal-well model, the first barriers appear at
... x ** illustrating the magnitude and phase of the sum as the result of a random
walk over the plane. points is Gaussian, and the mean value of the radius is
ATsum= AT barrier «VN (10.3) hence the area over which the end points are
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Classical Magnitudes and Scaling Laws
Potential Energy Surfaces
25 other sections not shown