Structure and dynamics of glass formers: predictability at large length scales.
By Ludovic Berthier, Robert L. Jack. 2007
97 citations recorded by the source corpus.
Dynamic heterogeneity in glass formers has been related to their static structure using the concept of dynamic propensity. We reexamine this relationship by analyzing dynamical fluctuations in two atomistic glass formers and two theoretical models. We introduce quantitative statistical indicators which show that the dynamics of individual particles cannot be predicted on the basis of the propensity or by any structural indicator. However, the spatial structure of the propensity field does have predictive power for the spatial correlations associated with dynamic heterogeneity. Our results suggest that the quest for a connection between the static and dynamic properties of glass formers at the particle level is in vain, but they demonstrate that such a connection does exist on larger length scales.
Subfields: Ceramics and Composites, Food Science, Materials Chemistry
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In Ceramics and Composites
In Materials Chemistry
- Hajime Tanaka
- Hua Tong
- Andrea Ninarello
- D. Coslovich
- Ludovic Berthier
- Stephen R. Williams
- C. Royall
- Weihua Wang
Citations in the corpus
- Models and Algorithms for the Next Generation of Glass Transition Studies (2017, result): “This finding, which agrees qualitatively with previous conclusions [81, 82], may also explain why the swap algorithm can be very efficient, because if spatial correlations had a strong structural component, then a strong numerical acceleration would likely necessitate the introduction of a more…”
- Revealing Hidden Structural Order Controlling Both Fast and Slow Glassy Dynamics in Supercooled Liquids (2018, background): “Still, it is interesting to quantify the relative amount of fluctuations with a structural origin over the total value RfðtÞ 1⁄4 ΔsðtÞ=ΔtotðtÞ [29].”