@article {48155,
	title = {Identifying structural signature of dynamical heterogeneity via the local softness parameter},
	journal = {Physical Review E},
	volume = {105},
	year = {2022},
	month = {APR},
	pages = {044604},
	type = {Article},
	abstract = {<p>
	In this work we study the relationship between the softness of a mean-field caging potential and dynamics at the local level. We first describe the local softness, which shows a distribution, thus identifying structural heterogeneity. We show that the lifetime of the softness parameter is connected to the lifetime of the well-known cage structure in supercooled liquids. Finally, our theory predicts that the local softness and the local dynamics is causal below the onset temperature where there is a decoupling between the short and long time dynamics, thus allowing a static description of the cage. With the decrease in temperature, the correlation between structure and dynamics increases. The study shows that at lower temperatures, the structural heterogeneity increases, and since the structure becomes a better predictor of the dynamics, it leads to an increase in the dynamical heterogeneity. We also find that the softness of a hard, immobile region evolves with time and becomes soft and eventually mobile due to the rearrangements in the neighborhood, confirming the well-known facilitation effect.</p>
},
	issn = {2470-0045},
	doi = {10.1103/PhysRevE.105.044604},
	author = {Sharma, Mohit and Nandi, Manoj Kumar and Bhattacharyya, Sarika Maitra}
}
@article {48675,
	title = {Dynamic heterogeneity in polydisperse systems: a comparative study of the role of local structural order parameter and particle size},
	journal = {Journal of Chemical Physics},
	volume = {159},
	year = {2023},
	month = {JUL},
	pages = {044501},
	type = {Article},
	abstract = {<p>
	In polydisperse systems, describing the structure and any structural order parameter (SOP) is not trivial as it varies with the number of species we use to describe the system, M. Depending on the degree of polydispersity, there is an optimum value of M = M-0 where we show that the mutual information of the system increases. However, surprisingly, the correlation between a recently proposed SOP and the dynamics is highest for M = 1. This effect increases with polydispersity. We find that the SOP at M = 1 is coupled with the particle size, s, and this coupling increases with polydispersity and decreases with an increase in M. Careful analysis shows that at lower polydispersities, the SOP is a good predictor of the dynamics. However, at higher polydispersity, the dynamics is strongly dependent on s. Since the coupling between the SOP and s is higher for M = 1, it appears to be a better predictor of the dynamics. We also study the Vibrality, an order parameter independent of structural information. Compared to SOP, at high polydispersity, we find Vibrality to be a marginally better predictor of the dynamics. However, this high predictive power of Vibrality, which is not there at lower polydispersity, appears to be due to its stronger coupling with s. Therefore, our study suggests that for systems with high polydispersity, the correlation of any order parameter and s will affect the correlation between the order parameter and dynamics and need not project a generic predictive power of the order parameter.</p>
},
	issn = {0021-9606},
	doi = {10.1063/5.0156794},
	author = {Patel, Palak and Sharma, Mohit and Bhattacharyya, Sarika Maitra}
}
