Structural (dis)order and dynamic propensity in a mildly undercooled glass-forming liquid: Spatial correlations and the role of crystalline environments
M Shajahan G Razul, Gurpreet S Matharoo, and Balakrishnan Viswanathan

TL;DR
This study investigates how local structural order and crystalline environments influence dynamic heterogeneities in a mildly undercooled glass-forming liquid, revealing strong correlations and the role of crystalline regions in slow dynamics.
Contribution
It demonstrates the connection between tetrahedral order heterogeneities and dynamic propensity, highlighting the influence of crystalline environments on slow dynamics in undercooled liquids.
Findings
Spatially correlated tetrahedral clusters are observable during structural relaxation.
Angular tetrahedral order strongly correlates with dynamics.
Crystalline environments may cause slow dynamics in undercooled water.
Abstract
We use the isoconfigurational (IC) ensemble to show the connection between emerging heterogeneities in the tetrahedral order parameter and the dynamic propensity in a mildly undercooled glass-forming liquid. We observe that spatially correlated tetrahedrally-(dis)ordered clusters of molecules are observable on the time scale of structural relaxation. The heterogeneities of tetrahedrally-(dis)ordered clusters correlate with dynamical heterogeneities (DH) and these correlations reach peaks at similar time scales. We discover that the angular component of the tetrahedral order parameter is strongly correlated to the dynamics compared to the radial component. Moreover, these correlations between the dynamics and tetrahedrally-(dis)ordered regions enormously influence the system, with spatial correlations being observable for a prolonged period beyond the peaks of maximum DH. Further, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
