Nanosystems: Molecular Machinery, Manufacturing, and Computation"Devices enormously smaller than before will remodel engineering,chemistry, medicine, and computer technology. How can we understandmachines that are so small? Nanosystems covers it all: powerand strength, friction and wear, thermal noise and quantumuncertainty. This is the book for starting the next century ofengineering." - Marvin Minsky MIT Science magazine calls Eric Drexler "Mr. Nanotechnology."For years, Drexler has stirred controversy by declaring thatmolecular nanotechnology will bring a sweeping technologicalrevolution - delivering tremendous advances in miniaturization,materials, computers, and manufacturing of all kinds. Now, he'swritten 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 ofdevelopments that will revolutionize most of the industrialprocesses and products currently in use. This groundbreaking work draws on physics and chemistry toestablish basic concepts and analytical tools. The book thendescribes nanomechanical components, devices, and systems,including parallel computers able to execute 1020 instructions persecond and desktop molecular manufacturing systems able to makesuch products. Via chemical and biochemical techniques, proximalprobe instruments, and software for computer-aided moleculardesign, the book charts a path from present laboratory capabilitiesto advanced molecular manufacturing. Bringing together physics,chemistry, mechanical engineering, and computer science,Nanosystems provides an indispensable introduction to theemerging field of molecular nanotechnology. |
From inside the book
Results 1-3 of 87
Page 101
This sum can be rearranged into two terms N - 1 4 Hoo ( 5.41 ) ħ п KT n = 0 } ( 2n
+ 1 % exp [ 23 ( n = 0 and the second term , which dominates in the classical limit
, can be simplified by considering the classical limit ( ħo , / kT « 1 ) : N - 1 4 kT ...
This sum can be rearranged into two terms N - 1 4 Hoo ( 5.41 ) ħ п KT n = 0 } ( 2n
+ 1 % exp [ 23 ( n = 0 and the second term , which dominates in the classical limit
, can be simplified by considering the classical limit ( ħo , / kT « 1 ) : N - 1 4 kT ...
Page 109
0.7588 ( 5.63 ) R2 n = 0 n Substituting the infinite series limit yields the
approximation 07,6 = 0.76 ħl 13 ( 3N + 4 + kT kope ky ( 9N - 2 TECN = 2 ( 5.64 )
Given the size of the first term in the above series and the shortcomings of the
continuum ...
0.7588 ( 5.63 ) R2 n = 0 n Substituting the infinite series limit yields the
approximation 07,6 = 0.76 ħl 13 ( 3N + 4 + kT kope ky ( 9N - 2 TECN = 2 ( 5.64 )
Given the size of the first term in the above series and the shortcomings of the
continuum ...
Page 118
Quantum effects in entropic systems reduce the variance below the classical
value ; in the quantum limit of large ħo IkT , all vibrational modes are in their
ground state , the entropy is zero , and the entropic variance is zero . ( Despite
the ...
Quantum effects in entropic systems reduce the variance below the classical
value ; in the quantum limit of large ħo IkT , all vibrational modes are in their
ground state , the entropy is zero , and the entropic variance is zero . ( Despite
the ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
Common terms and phrases
analysis applied approach approximation assumed atoms barrier bearing blocks bond bound build calculations cause Chapter chemical chemistry classical complex components computational considered constraints corresponding density described developed devices diamond direction discussed displacement drive effects electronic energy dissipation engineering error estimated example Figure force frequency function further gears geometry given hence increase interactions interface length limit logic manufacturing mass materials mean measure mechanical moieties molecular molecules motion moving nanomechanical objects operations parameters permit physical position potential energy present pressure probability problems properties protein quantum quantum mechanical range rates reaction reactive reagent reduce region relatively resulting scale Section separation single sliding space specific speed stability steps stiffness structures substantial surface temperature thermal tion transition typical unit values vibrational volume yields