Page 17 - Nanotechnology an introduction
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Chapter Contents

    2.1 The Size of Atoms 17
    2.2 Molecules and Surfaces 18
    2.3 Nucleation 20
    2.4 Chemical Reactivity 21
    2.5 Electronic and Optical Properties 24
    2.6 Magnetic and Ferroelectric Properties 27
    2.7 Mechanical Properties 28
    2.8 Quantum Smallness 30
    2.9 Summary 33
    2.10 Further Reading 34
  Consideration of what happens to things when we reduce their size reveals two kinds of behavior. In one group of phenomena there is a discontinuous change of properties at a certain size. This change can be very reasonably taken to
  demarcate the nanoscale. The nanoscale therefore reveals itself as property-dependent. In the other group of phenomena the properties change gradually without any discontinuous (qualitative) change occurring. In this case the upper
  boundary of the nanoscale is somewhat arbitrary, but one hundred nanometers seems reasonable, and it is immaterial whether this boundary is taken to be approximate or exact. The Hegelian concept of quantitative change becoming
  qualitative if great enough can be used to justify the application of the term “nanotechnology”.
  Keywords: molecules, surfaces, nucleation, creativity, electromagnetic properties, mechanical properties, quantum behavior, function
  Before the advent of nanotechnology, and before the Système International (S.I.) was instituted, the bulk realm was typically referred to as macro
  and the atomic realm as micro. Scientific consideration of the microworld really began with the invention of the microscope, very appropriately
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  named as it turned out, in view of the subsequent formalization of “micro” as the name of the multiplier 10 . The Abbe limit of resolution of the
  optical microscope (equation 5.2) is indeed of the order of one micrometer (the wavelength of visible light). Now that electron microscopes, and
  even  more  recently  scanning  probe  microscopes,  can  resolve  features  a  few  nanometers  in  size,  the  name  “microscope”  has  become
  anachronistic—it would be better to call these instruments ultramicroscopes or nanoscopes. The range intermediate between macro and micro
  was typically referred to as meso (“mesoscale” simply means “of an intermediate scale”). This had no precise definition (except in meteorology),
  but  typically  referred  to  a  realm  which,  while  being  indubitably  invisible  (to  the  naked  eye)  and  hence  “micro”,  and  not  describable  using
  macroscopic  continuum  models,  could  be  adequately  modeled  without  explicitly  considering  what  were  by  then  believed  to  be  the  ultimate
  constituents of matter—electrons, protons, neutrons and so forth—but by taking into account an appropriately coarse-grained discreteness. For
  example, according to this approach a protein might be modeled by considering each amino acid to be a blob with a characteristic chemical
  functionality according to its unique side chain (“residue”). One might go further and model an amino acid in a protein as a structureless blob with
  two integers characterizing, respectively, hydrogen bond-donating and hydrogen bond-accepting capacities; nucleotides (“bases”) in DNA (see
  Section 11.1) are commonly modeled as one of A, C, G and T, with the propensities to pair with, respectively, T, G, C and A. Given that this coarse
  graining neglects structure below the size of a few nanometers, it might be tempting to simply identify the nanoscale with the mesoscale. Working at
  the nanoscale would then appear as mainly a matter of computational convenience, since coarse-grained models are much more tractable than
  more detailed ones (consider Brownian dynamics versus molecular dynamics) and often require fewer assumptions. It may well be that a structure
  characteristic of this scale, such as a lipid bilayer, could be correctly determined from the quantum electrodynamical Hamiltonian, explicitly taking
  each electron and atomic nucleus into account, but this would be an extraordinarily tedious calculation (and one would need to mobilize the entire
  computing resources of the world even to reach an approximate solution for any practically useful problem). However, this usage of the term would
  not imply that there is any particular novelty in the nanoscale, whereas as one makes the transition from typically bulk properties to typically atomic
  and subatomic properties, one passes through a state that is characteristic neither of individual atoms nor of the bulk, and it would then appear to
  be reasonable to take the length range over which this transition occurs as the nanoscale.

  The current consensual definition of the nanoscale is from 1 to 100 nm, although it is still disputed whether these limits should be considered exact
  or approximate. Finding a consensus is analogous to a multiobjective optimization procedure in which it is not possible to perfectly satisfy every
  objective considered independently because some of them conflict. A compromise is therefore sought that is as close as possible to all objectives.
  In many cases there is a continuum of possible states of each attribute (each attribute corresponding to an objective) and the Pareto front on which
  the compromise solutions lie is indeed a meaningful solution to the optimization problem. If, on the other hand, it is considered that there is only one
  correct solution for a given objective, and anything else is wrong, the consensus might be Pareto optimal but wrong in every regard—perhaps a
  little like not a single person in the population having the attributes of Quetelet's “average man”. Nevertheless such a consensual definition might still
  be useful—at least it has the virtue of simplicity and probably does facilitate discussion of nanotechnology, albeit at a rather basic level, among a
  diverse range of people.
  This chapter goes beyond the current consensus and examines the definition of the nanoscale more deeply. According to one of the definitions of
  nanotechnology discussed in Chapter 1, “nanotechnology pertains to the processing of materials in which structure of a dimension of less than 100
  nm is essential to obtain the required functional performance”[36]. This functional performance is implicitly unattainable at larger sizes, hence the
  definition essentially paraphrases “the deliberate and controlled manipulation, precision placement, measurement, modeling and production of
  matter in the nanoscale in order to create materials, devices, and systems with fundamentally new properties and functions”[1]. The emergence of a
  qualitatively new feature as one reduces the size is a key concept associated with nanotechnology. In order to define the nanoscale, therefore, we
  need to search for such qualitative changes.
  Given that in principle the prefix “nano” can apply to any base unit, not just the meter, one needs to justify the primacy of length in a definition of the
  nanoscale. Among the different categories of attributes—length, mass, voltage, and so on—length does enjoy a certain primacy, perhaps because
  man first measured things by pacing out their spacial dimension. And given that the meter roughly corresponds to one human step, we can prima
  facie accept that the nanoscale is based on the nanometer. As nanotechnologists seemingly never tire of relating, the prefix “nano” is derived from
  the Greek “νανoσ”, meaning dwarf, and the meaning of “very small” has been formalized by the Système International (S.I.) of scientific units
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  adopting nano as the name of the multiplier 10 . Thus one nanometer (1 nm) means precisely 10  m, in other words a millionth of a millimeter or
  a thousandth of a micrometer, which is somewhat larger than the size of one atom (Table 2.1).
                                                    Table 2.1 Covalent radii of some atoms
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