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Ph.D. thesis (pdf) - dirac

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7.4. Lindemann criterion 131<br />

DBP at atmospheric pressure and 500 MPa. The temperature scale in this figure<br />

is scaled by the pressure dependent T g and the y-axis is scaled with a 2 ∝ ρ −2/3<br />

evaluated at (T g (P), P). This scaling makes the entire temperature dependence<br />

collapse on one curve (see figure 7.4 for the raw data). The scaling of the temperature<br />

axis is by far the most important for this data collapse. The estimated increase<br />

in density is less than 10% (see appendix A for equation of state). This gives a<br />

decrease of a 2 by approximately 5%. This difference is almost indistinguishable in<br />

figure 7.10 due to the scatter of the data. The same type of data collapse is found for<br />

0.025<br />

0.02<br />

0.01 MPa<br />

500 MPa<br />

/ a 2<br />

0.015<br />

0.01<br />

0.005<br />

0<br />

0 0.2 0.4 0.6 0.8 1 1.2<br />

T / T g<br />

Figure 7.10: The temperature dependence of the mean square displacement in DBP<br />

at atmospheric pressure and 500 MPa. The temperature is scaled by the pressure<br />

dependent T g and the y-axis is scaled with a 2 ∝ ρ −2/3 evaluated at (T g (P), P).<br />

cumene (figure 7.11) within the rather large error-bars of the data on the measured<br />

pressure (see section 7.1.1). A similar result has bean found earlier by Frick and<br />

Alba-Simionesco [1999] on polybutadiene.<br />

This scaling strongly supports the notion of a Lindemann criterion for the glass<br />

transition. It is moreover striking to see that the whole temperature dependence<br />

of the mean square displacement in the glass and in the liquid state collapses after<br />

applying this scaling. This is particularly clearly seen in the case of glycerol, in<br />

which case the deviation from linear temperature dependence sets in much above T g<br />

(figure 7.12).

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