Abstract:Network‐forming cluster approach is applied to As‐Se and Ge‐Se glasses to justify their tendency to self‐organization. It is shown that reversibility windows determined by temperature‐modulated differential scanning calorimetry using short‐term aged or as‐prepared samples do not necessary coincide with self‐organized phase in these materials. The obtained results testify also pseudo‐self‐organization phenomenon in Ge‐Se glasses: over‐constrained outrigger raft structural units built of two edge‐ and four corne… Show more
“…3, the scan rate was 5 • C/min which is quite close to 3 • C/min used as a typical MDSC scan rate by Dash et al 2 At such low scan rates (2-5 • C/min), the conclusions drawn from MDSC and conventional DSC would be quite similar, which has been convincingly proved at the example of As/Ge-Se glasses. 3,5,6 The narrowing of glass transition range W as a result of physical aging or annealing was also observed previously in pure Se, 7 a number of Se-based glasses, 8,9 and even organic polymers. 10 Moreover, in As-Se glasses, this narrowing was accompanied by changes in the asymmetry of non-reversing heat flow (∆H nr ) measured at 2 • C/min scan rate after ∼20 years of dark storage at room temperature.…”
supporting
confidence: 75%
“…15 The threshold time depends essentially on T a , decreasing when T a approaches T g ; i.e., t th is different for the glasses with different T g aged at the same temperature. As a result, the isochronal aging-induced changes in T g (especially as small as 2-4 • C) 2 T g , which varies from ∼40 • C for pure Se to about ∼70 • C for Ge 6 Se 94 glasses (see Fig. 4 in Ref.…”
“…3, the scan rate was 5 • C/min which is quite close to 3 • C/min used as a typical MDSC scan rate by Dash et al 2 At such low scan rates (2-5 • C/min), the conclusions drawn from MDSC and conventional DSC would be quite similar, which has been convincingly proved at the example of As/Ge-Se glasses. 3,5,6 The narrowing of glass transition range W as a result of physical aging or annealing was also observed previously in pure Se, 7 a number of Se-based glasses, 8,9 and even organic polymers. 10 Moreover, in As-Se glasses, this narrowing was accompanied by changes in the asymmetry of non-reversing heat flow (∆H nr ) measured at 2 • C/min scan rate after ∼20 years of dark storage at room temperature.…”
supporting
confidence: 75%
“…15 The threshold time depends essentially on T a , decreasing when T a approaches T g ; i.e., t th is different for the glasses with different T g aged at the same temperature. As a result, the isochronal aging-induced changes in T g (especially as small as 2-4 • C) 2 T g , which varies from ∼40 • C for pure Se to about ∼70 • C for Ge 6 Se 94 glasses (see Fig. 4 in Ref.…”
“…Although some other models [335,371] with a weaker theoretical basis have argued that the existence of the IP remains elusive, albeit contradicted by the variety of experimental signatures, there is a strong theoretical and numerical indication that RW or IP glasses display a particular relaxation kinetics manifesting in ∆H nr that leads to anomalous properties in different physical properties (Fig. 40).…”
Abstract. Recent progresses in the description of glassy relaxation and ageing are reviewed for the wide class of network-forming materials such as GeO 2 , Ge x Se 1−x , silicates (SiO 2 -Na 2 O) or borates (B 2 O 3 -Li 2 O), all of them having an important usefulness in domestic, geological or optoelectronic applications. A brief introduction of the glass transition phenomenology is given, together with the salient features that are revealed both from theory and experiments. Standard experimental methods used for the characterization of the slowing down of the dynamics are reviewed. We then discuss the important role played by aspect of network topology and rigidity for the understanding of the relaxation of the glass transition, while also permitting analytical predictions of glass properties from simple and insightful models based on the network structure. We also emphasize the great utility of computer simulations which probe the dynamics at the molecular level, and permit to calculate various structure-related functions in connection with glassy relaxation and the physics of ageing which reveals the off-equilibrium nature of glasses. We discuss the notion of spatial variations of structure which leads to the picture of "dynamic heterogeneities", and recent results of this important topic for network glasses are also reviewed.PACS numbers: 61.43. Fs, 64.70.kj Relaxation and physical ageing in network glasses 2 Figure 1. Typical network-forming glasses: a) A stoichiometric glass former (SiO 2 , B 2 S 3 ) whose structure and network connectivity can be altered by the addition (b) of 2-fold coordinated atoms (usually chalcogens, S, Se) that lead to cross-linked chains. The structure can also be depolymerized (c) by the addition of a network modifier (alkali oxides or chalcogenides, Na 2 O, Li 2 S, etc.). Glassy dynamics depends strongly on the network topology, i.e. the way bonds and angles arrange to lead to a connected atomic network. Note that only chalcogenides can produce a mixture of these three kinds of basic networks, e.g. (1-x)Ge y Se 1−y -xAg 2 Se [2], and for the latter system x=0 corresponds to case (b), y=33% corresponds to case (c), and both conditions together (x=0,y=33 %) to case (a).
“…107 The observation of these spectacular changes occurring within the x c1 < x < x c2 range requires special care in sample preparation because it has been shown that measurements are highly sensitive to dryness or homogeneity. 107,109,110 As an unfortunate consequence, there have been reported statements challenging 82,111,112 the existence of the intermediate phase.…”
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