Encyclopedia of Glass Science, Technology, History, and Culture. Группа авторов

Encyclopedia of Glass Science, Technology, History, and Culture - Группа авторов


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in analogy with the structural changes associated with the αβ transition in cristobalite [17]. In addition, it has been suggested that the abrupt rotation of Si─O─Si equivalent to torsion movement between two SiO4 tetrahedra is the cause of anomalous thermomechanical properties in silica glass [17].

      5.3 Medium‐range Order

Graphs depict the torsion angle distribution in simulated B2O3 glass between BO3 and BO3 units (a) and between B3O6 and B3O6 units (b). Graph depicts the ring size distribution in simulated B2O3 and SiO2 glasses. Graph depicts the vibrational density of states in simulated B2O3 glass.

      There is another geometrical method relying on the so‐called “Voronoi diagram” (e.g. [18]). It is largely employed for monatomic system for which partitioning three‐dimensional space is simple and easy when the calculated atomic coordinates obtained by atomistic simulations are used to delineate the portion of space assigned to every atom. These “Voronoi polyhedra” are then characterized by their numbers of faces and corners whose distributions change as positional relationships vary in the glass structure. The other geometrical method is called the analysis of “bond orientational order.” The order parameter that is rotationally invariant can be calculated with spherical harmonic functions. This order parameter has been used to investigate a local icosahedral order chiefly for monatomic system, because its value can discriminate geometrical differences between FCC, HCP, icosahedral, and BCC clusters (e.g. [18]).

      In summary, atomistic simulations provide a key to explaining the concept of “modified random network theory [10]” in alkaline silicate glass [10] or the existence of “super‐structural units [19]” in B2O3 glass [6]. However, new analytical methods are required to understand medium‐range order in more detail.

      5.4 Structure‐related Properties

      (24)equation

      where the bracket indicates an equilibrium time average and N, V, T, fij, and rij are as usual the number of atoms, cell volume, temperature, and pair force and distance between atoms i and j, respectively.

      The internal energy (Eint) is

      (25)equation

      and the molar heat capacity at constant volume (Cv):

      (26)equation

      Alternatively, one can derive Cv from the potential energy fluctuations through

      (27)equation

      and two other interesting properties are the thermal expansion coefficient, (αp)

      (28)equation

      where H is enthalpy, and the thermal pressure coefficient (βV):

      (29)equation

      After a model of atomistic simulation is validated so that it can reproduce static structure of glass, it can be applied to investigate transport and dynamical properties such as diffusion constants, viscosity, or the Van Hove correlation function (Chapter 4.6).

      5.5 Experimental and Computational Complementarity

      The statically arrangement of structural units for B2O3 glass and the dynamically arrangement of structural units for SiO2 glass represent new insights on glass structure provided by MD simulations, in these cases, by the TAD, which escape any experimental determinations. These two examples thus illustrate the complementary nature of numerical simulations and experimental studies of glass structure. When the history of structural studies on glass is looked back on, it is clear that both diffraction and spectroscopic studies have made fundamental contributions to the construction of structural models. The RDF or the PDF can indeed be readily calculated from the Fourier transform of experimental X‐ray, neutron, or electron diffraction data (Chapter 2.2). Because this type of information represents averaged one‐dimensional


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