BECAS
VERDE Alejandro RaÚl
artículos
Título:
Correlations between defect propensity and dynamical heterogeneities in supercooled water
Autor/es:
VERDE, ALEJANDRO R.; ALARCÓN, LAUREANO M.; APPIGNANESI, GUSTAVO A.
Revista:
JOURNAL OF CHEMICAL PHYSICS
Editorial:
AMER INST PHYSICS
Referencias:
Año: 2023 vol. 158
ISSN:
0021-9606
Resumen:
A salient feature of supercooled liquids consists in the dramatic dynamical slowdown they undergo as temperature decreases while no significant structural change is evident. These systems also present dynamical heterogeneities (DH): certain molecules, spatially arranged in clusters, relax various orders of magnitude faster than the others. However, again, no static quantity (such as structural or energetic measures) shows strong direct correlations with such fast-moving molecules. In turn, the dynamic propensity approach, an indirect measure that quantifies the tendency of the molecules to move in a given structural configuration, has revealed that dynamical constraints, indeed, originate from the initial structure. Nevertheless, this approach is not able to elicit which structural quantity is, in fact, responsible for such a behavior. In an effort to remove dynamics from its definition in favor of a static quantity, an energy-based propensity has also been developed for supercooled water, but it could only find positive correlations between the lowest-energy and the least-mobile molecules, while no correlations could be found for those more relevant mobile molecules involved in the DH clusters responsible for the system’s structural relaxation. Thus, in this work, we shall define a defect propensity measure based on a recently introduced structural index that accurately characterizes water structural defects. We shall show that this defect propensity measure provides positive correlations with dynamic propensity, being also able toaccount for the fast-moving molecules responsible for the structural relaxation. Moreover, time dependent correlations will show that defectpropensity represents an appropriate early-time predictor of the long-time dynamical heterogeneity.