Abstract:The Vogel-Fulcher-Tammann-Hesse (VFTH) equation has been the most widespread tool for describing the temperature dependence with viscosity for strong, moderate and fragile glass-forming liquids. In this work, the VFTH equation was applied over a wide temperature range (between the glass transition temperature, T g , and the melting point, T m ) for 38 oxide glasses, considering simple, binary and ternary compositions of silicate and borate systems. The Levenberg-Marquart non-linear fitting procedure was used t… Show more
“…The values of f 4 , f 3 , and f 2 , for example, are set by values taken directly from data tables in the NMR study (Maekawa et al, 1991). For the SiO 2 glass, the minute fraction of rings (f R = 0) is ignored while the values of f F = 20%, f ST = 30%, and f ES = FIGURE 10 | The fragility indices of SiO 2 and selected sodium and potassium silicate glasses (Poole, 1949;Nascimento and Aparicio, 2007;Nemilov, 2007) plotted as a function of the connectivity coarse-grained to include IRO structures as described in the text. Also shown are the data from Figure 4 for both the chalcogenides (plotted as a function of the average bond per atom) and the alkali phosphates (plotted as a function of the average BO per phosphate).…”
Glass fragility is a byproduct of early attempts to apply law of corresponding states scaling to the temperature dependent thickening of glass forming liquids. Efforts to plot the logarithm of the viscosity vs. inverse temperature scaled to the glass transition point (T g) fail to collapse data to a common, universal curve but instead display an informative pattern: at one extreme, many "strong" oxide glasses exhibit a single Arrhenius dependence, and at the other extreme, many "fragile" molecular liquids display a highly non-Arrhenius pattern in which the viscosity increases far more rapidly just in advance of T g. In this regard, network-forming glasses composed of 3D networks of covalently bonded atoms are of interest as they undergo systematic changes in both T g and fragility depending on the topology of the network and display variations of the fragility index spanning from strong (m ≈ 17) to fragile (m ≈ 90) depending on the level of network connectivity. Here we review the merits of a special, coarse-grained definition for the topological connectivity of network-forming glasses that differs from conventional constraint-counting approaches but which allows the fragility of over 150 different network-forming glasses (both oxides and chalcogenides) to be collapsed onto a single function of the average network connectivity. We also speculate on what role this coarse-grained connectivity might play in determining the glass transition temperature.
“…The values of f 4 , f 3 , and f 2 , for example, are set by values taken directly from data tables in the NMR study (Maekawa et al, 1991). For the SiO 2 glass, the minute fraction of rings (f R = 0) is ignored while the values of f F = 20%, f ST = 30%, and f ES = FIGURE 10 | The fragility indices of SiO 2 and selected sodium and potassium silicate glasses (Poole, 1949;Nascimento and Aparicio, 2007;Nemilov, 2007) plotted as a function of the connectivity coarse-grained to include IRO structures as described in the text. Also shown are the data from Figure 4 for both the chalcogenides (plotted as a function of the average bond per atom) and the alkali phosphates (plotted as a function of the average BO per phosphate).…”
Glass fragility is a byproduct of early attempts to apply law of corresponding states scaling to the temperature dependent thickening of glass forming liquids. Efforts to plot the logarithm of the viscosity vs. inverse temperature scaled to the glass transition point (T g) fail to collapse data to a common, universal curve but instead display an informative pattern: at one extreme, many "strong" oxide glasses exhibit a single Arrhenius dependence, and at the other extreme, many "fragile" molecular liquids display a highly non-Arrhenius pattern in which the viscosity increases far more rapidly just in advance of T g. In this regard, network-forming glasses composed of 3D networks of covalently bonded atoms are of interest as they undergo systematic changes in both T g and fragility depending on the topology of the network and display variations of the fragility index spanning from strong (m ≈ 17) to fragile (m ≈ 90) depending on the level of network connectivity. Here we review the merits of a special, coarse-grained definition for the topological connectivity of network-forming glasses that differs from conventional constraint-counting approaches but which allows the fragility of over 150 different network-forming glasses (both oxides and chalcogenides) to be collapsed onto a single function of the average network connectivity. We also speculate on what role this coarse-grained connectivity might play in determining the glass transition temperature.
“…Glass properties (e.g., glass-transition temperature, fragility, and elasticity) may also depend on the ionic radius of AAEM species. 31,32) Since the BP feature also correlates with these physical properties, the dependence found in this study of the BP on composition provides information that elucidates the nature of the BP.…”
We present the results of low-temperature (³5 to 20 K) specific-heat measurements performed in numerous oxide glass systems. These results allow us to elucidate the impact of the system or component on the excess specific heat, which when plotted on C p /T 3 vs T appears as a broad band known as the boson peak (BP). By integrating our experimental results with the data of Richet [Physica B 404, 3799 (2009); J. Chem. Phys. 136, 034703 (2012)], we demonstrate a strong negative correlation between the BP amplitude and its maximum temperature. We also describe the BP characteristics of multicomponent systems based on different binary systems in silicate glasses.
“…In order to check the exact fitting between the VFT equation and the BSCNF model, in this analysis, we used the collection of fitting parameters by the VFT equation given in reference [4], where the values of B VFT , T 0 , T g , and the fragility index m for various oxide glass forming materials are provided. The numerical values of both, ln( η T g / η 0 ) calculated by Equation 6, and the best fitting parameters ( B * , C * ) determined by the BSCNF model, are also indicated in Table 1.…”
Section: The Bscnf Model and The Vft Equationmentioning
confidence: 99%
“…The Vogel-Fulcher-Tammann (VFT) equation [1,2,3] is one of the most commonly used expressions for the analysis of the temperature dependence of viscosity [4,5,6,7,8,9], relaxation time [5,8,10,11], diffusion coefficient [5,6,7,9], and electrical conductivity [5,6,7], etc . The application of the VFT equation covers a wide field of research [12].…”
Section: Introductionmentioning
confidence: 99%
“…Such systems are called fragile system. To describe the behavior observed in fragile systems, the VFT equation has often been employed [4,6,7]. Although the physical background of the VFT equation has been fully discussed from the theoretical point of view [10,22], there might be some discrepancies between the experimental data and its interpretation when the actual data and the VFT equation are compared.…”
The Vogel-Fulcher-Tammann (VFT) equation has been used extensively in the analysis of the experimental data of temperature dependence of the viscosity or of the relaxation time in various types of supercooled liquids including metallic glass forming materials. In this article, it is shown that our model of viscosity, the Bond Strength—Coordination Number Fluctuation (BSCNF) model, can be used as an alternative model for the VFT equation. Using the BSCNF model, it was found that when the normalized bond strength and coordination number fluctuations of the structural units are equal, the viscosity behaviors described by both become identical. From this finding, an analytical expression that connects the parameters of the BSCNF model to the ideal glass transition temperature T0 of the VFT equation is obtained. The physical picture of the Kohlrausch-Williams-Watts relaxation function in the glass forming liquids is also discussed in terms of the cooperativity of the structural units that form the melt. An example of the application of the model is shown for metallic glass forming liquids.
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