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Ionic numbers

Here, some numerical examples will be presented from Amovilli et al. [41]. As far as possible, bearing in mind the limitations of the model, the examples are designed for conditions which can be achieved in laboratory experiments. However only non-degenerate plasmas will be considered, this then implying the constraint that the ionic number density n,- satisfies... [Pg.84]

Please note that this part depends on (the modulus) of all ionic sites / /. The remaining part of the external potential contains geometrical information and effects finally the transition from the molecular structure (for few ionic numbers) to the solid (for a large number of ions). As we shall see in a number of examples the first, spherically symmetric part of the pseudopotential is extremely well represented by the jellium model and is by far the largest contribution to the total potential. Therefore the second part, containing the geometrical information, can be treated by perturbation theory. [Pg.19]

In an ionic solution, the ions are typically the only source of charge density, and so this charge density is the sum of the charge density due to each ion. This charge density is the product of the ionic charge, which is a multiple z,- of the electron charge e, and the ionic number densities, denoted ... [Pg.216]

The co-ordination number in ionic compounds is determined by the radius ratio - a measure of the necessity to minimize cationic contacts. More subtle effects are the Jahn-Teller effect (distortions due to incomplete occupancy of degenerate orbitals) and metal-metal bonding. [Pg.416]

The examples in the preceding section, of the flotation of lead and copper ores by xanthates, was one in which chemical forces predominated in the adsorption of the collector. Flotation processes have been applied to a number of other minerals that are either ionic in type, such as potassium chloride, or are insoluble oxides such as quartz and iron oxide, or ink pigments [needed to be removed in waste paper processing [92]]. In the case of quartz, surfactants such as alkyl amines are used, and the situation is complicated by micelle formation (see next section), which can also occur in the adsorbed layer [93, 94]. [Pg.478]

The solute-solvent interaction in equation A2.4.19 is a measure of the solvation energy of the solute species at infinite dilution. The basic model for ionic hydration is shown in figure A2.4.3 [5] there is an iimer hydration sheath of water molecules whose orientation is essentially detemiined entirely by the field due to the central ion. The number of water molecules in this iimer sheath depends on the size and chemistry of the central ion ... [Pg.566]

A large number of ordered surface structures can be produced experimentally on single-crystal surfaces, especially with adsorbates [H]. There are also many disordered surfaces. Ordering is driven by the interactions between atoms, ions or molecules in the surface region. These forces can be of various types covalent, ionic, van der Waals, etc and there can be a mix of such types of interaction, not only within a given bond, but also from bond to bond in the same surface. A surface could, for instance, consist of a bulk material with one type of internal bonding (say, ionic). It may be covered with an overlayer of molecules with a different type of intramolecular bonding (typically covalent) and the molecules may be held to the substrate by yet another fomi of bond (e.g., van der Waals). [Pg.1758]

Schemes for classifying surfactants are based upon physical properties or upon functionality. Charge is tire most prevalent physical property used in classifying surfactants. Surfactants are charged or uncharged, ionic or nonionic. Charged surfactants are furtlier classified as to whetlier tire amphipatliic portion is anionic, cationic or zwitterionic. Anotlier physical classification scheme is based upon overall size and molecular weight. Copolymeric nonionic surfactants may reach sizes corresponding to 10 000-20 000 Daltons. Physical state is anotlier important physical property, as surfactants may be obtained as crystalline solids, amoriDhous pastes or liquids under standard conditions. The number of tailgroups in a surfactant has recently become an important parameter. Many surfactants have eitlier one or two hydrocarbon tailgroups, and recent advances in surfactant science include even more complex assemblies [7, 8 and 9]. Schemes for classifying surfactants are based upon physical properties or upon functionality. Charge is tire most prevalent physical property used in classifying surfactants. Surfactants are charged or uncharged, ionic or nonionic. Charged surfactants are furtlier classified as to whetlier tire amphipatliic portion is anionic, cationic or zwitterionic. Anotlier physical classification scheme is based upon overall size and molecular weight. Copolymeric nonionic surfactants may reach sizes corresponding to 10 000-20 000 Daltons. Physical state is anotlier important physical property, as surfactants may be obtained as crystalline solids, amoriDhous pastes or liquids under standard conditions. The number of tailgroups in a surfactant has recently become an important parameter. Many surfactants have eitlier one or two hydrocarbon tailgroups, and recent advances in surfactant science include even more complex assemblies [7, 8 and 9].
There is a great number of mostly covalent and tetraliedral binary IV-IV, III-V, II-VI and I-VII semiconductors. Most crystallize in tire zincblende stmcture, but some prefer tire wairtzite stmcture, notably GaN [H, 12]. Wlrile tire bonding in all of tliese compounds (and tlieir alloys) is mostly covalent, some ionic character is always present because of tire difference in electron affinity of tire constituent atoms. [Pg.2878]

To date there is no evidence that sodium forms any chloride other than NaCl indeed the electronic theory of valency predicts that Na" and CU, with their noble gas configurations, are likely to be the most stable ionic species. However, since some noble gas atoms can lose electrons to form cations (p. 354) we cannot rely fully on this theory. We therefore need to examine the evidence provided by energetic data. Let us consider the formation of a number of possible ionic compounds and first, the formation of sodium dichloride , NaCl2. The energy diagram for the formation of this hypothetical compound follows the pattern of that for NaCl but an additional endothermic step is added for the second ionisation energy of sodium. The lattice energy is calculated on the assumption that the compound is ionic and that Na is comparable in size with Mg ". The data are summarised below (standard enthalpies in kJ) ... [Pg.75]

The data in Table 7.1 show that, as expected, density, ionic radius, and atomic radius increase with increasing atomic number. However, we should also note the marked differences in m.p. and liquid range of boron compared with the other Group III elements here we have the first indication of the very large difference in properties between boron and the other elements in the group. Boron is in fact a non-metal, whilst the remaining elements are metals with closely related properties. [Pg.138]

The melting and boiling points of the aluminium halides, in contrast to the boron compounds, are irregular. It might reasonably be expected that aluminium, being a more metallic element than boron, would form an ionic fluoride and indeed the fact that it remains solid until 1564 K. when it sublimes, would tend to confirm this, although it should not be concluded that the fluoride is, therefore, wholly ionic. The crystal structure is such that each aluminium has a coordination number of six, being surrounded by six fluoride ions. [Pg.153]

The reason why lanthanides of high atomic number emerge first is that the stability of a lanthanide ion-citrate ion complex increases with the atomic number. Since these complexes are formed by ions, this must mean that the ion-ligand attraction also increases with atomic number, i.e. that the ionic radius decreases (inverse square law). It is a characteristic of the lanthanides that the ionic radius... [Pg.442]

The first term represents the forces due to the electrostatic field, the second describes forces that occur at the boundary between solute and solvent regime due to the change of dielectric constant, and the third term describes ionic forces due to the tendency of the ions in solution to move into regions of lower dielectric. Applications of the so-called PBSD method on small model systems and for the interaction of a stretch of DNA with a protein model have been discussed recently ([Elcock et al. 1997]). This simulation technique guarantees equilibrated solvent at each state of the simulation and may therefore avoid some of the problems mentioned in the previous section. Due to the smaller number of particles, the method may also speed up simulations potentially. Still, to be able to simulate long time scale protein motion, the method might ideally be combined with non-equilibrium techniques to enforce conformational transitions. [Pg.75]


See other pages where Ionic numbers is mentioned: [Pg.11]    [Pg.92]    [Pg.445]    [Pg.1607]    [Pg.1733]    [Pg.3221]    [Pg.268]    [Pg.987]    [Pg.1989]    [Pg.11]    [Pg.92]    [Pg.445]    [Pg.1607]    [Pg.1733]    [Pg.3221]    [Pg.268]    [Pg.987]    [Pg.1989]    [Pg.102]    [Pg.111]    [Pg.126]    [Pg.178]    [Pg.235]    [Pg.285]    [Pg.292]    [Pg.294]    [Pg.399]    [Pg.484]    [Pg.484]    [Pg.493]    [Pg.500]    [Pg.570]    [Pg.572]    [Pg.815]    [Pg.816]    [Pg.1710]    [Pg.2398]    [Pg.2579]    [Pg.308]    [Pg.28]    [Pg.44]    [Pg.139]    [Pg.249]    [Pg.257]    [Pg.442]    [Pg.116]   
See also in sourсe #XX -- [ Pg.122 ]




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Aggregation numbers of ionic

Coordination number ionic crystals

Coordination number ionic structure

Ionic atmosphere number

Ionic compounds coordination numbers

Ionic compounds oxidation numbers

Ionic conductivity transference number

Ionic constituents, transference number

Ionic hydration number

Ionic radii atomic number

Ionic radii coordination number-radius ratio

Ionic radii coordination numbers

Ionic solvation numbers

Ionic species oxidation numbers

Ionic transference number

Ionic transference number and

Ionic transport number

Oxidation numbers in ionic species

Oxidation numbers ionic binary compounds

Room temperature ionic liquids transport number

Sample calculations of ionic transference numbers

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