Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-10-04
Phys. Rev. E 84, 050501(R) (2011)
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 2 figures
Scientific paper
10.1103/PhysRevE.84.050501
The predictions of the mode-coupling theory (MCT) for the dynamical arrest scenarios in a partly pinned (PP) fluid system are reported. The corresponding dynamical phase diagram is found to be very similar to that of a related quenched-annealed (QA) system. The only significant qualitative difference lies in the shape of the diffusion-localization lines at high matrix densities, with a re-entry phenomenon for the PP system but not for the QA model, in full agreement with recent computer simulation results. This finding clearly lends support to the predictive power of the MCT for fluid-matrix systems. Finally, the predictions of the MCT are shown to be in stark contrast with those of the random first-order transition theory. The PP systems are thus confirmed as very promising models for tests of theories of the glass transition.
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