activity
20172023
most citedGlass Transition in Supercooled Liquids with Medium Range Crystalline Order

48 citations · 222 across the 11 of their papers we have counts for

collaborators

11 papers

physics.bio-ph2023★ 7 cited

Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure

Indrajit Tah, Daniel Haertter, Janice M. Crawford +3

Dorsal closure is a process that occurs during embryogenesis of Drosophila melanogaster. During dorsal closure, the amnioserosa (AS), a one-cell thick epithelial tissue that fills…

cond-mat.soft2023★ 13 cited

Rigidity of Epithelial Tissues as a Double Optimization Problem

Sadjad Arzash, Indrajit Tah, Andrea J. Liu +1

How do cells tune emergent properties at the scale of tissues? One class of such emergent behaviors are rigidity transitions, in which a tissue changes from a solid-like to a fluid…

cond-mat.soft2023★ 7 cited

Building a "trap model" of glassy dynamics from a local structural predictor of rearrangements

Sean A. Ridout, Indrajit Tah, Andrea J. Liu

Here we introduce a variation of the trap model of glasses based on softness, a local structural variable identified by machine learning, in supercooled liquids. Softness is a part…

cond-mat.soft2022★ 31 cited

Fragility in Glassy Liquids: A Structural Approach Based on Machine Learning

Indrajit Tah, Sean A. Ridout, Andrea J. Liu

The rapid rise of viscosity or relaxation time upon supercooling is universal hallmark of glassy liquids. The temperature dependence of the viscosity, however, is quite non univers…

cond-mat.soft2021

Kinetic Fragility Directly Correlates with the Many-body Static Amorphous Order in Glass-Forming Liquids

Indrajit Tah, Smarajit Karmakar

The term "fragility" describes the rate at which viscosity grows when a supercooled liquid approaches its putative glass transition temperature. The field of glassy materials is ac…

cond-mat.soft2020★ 17 cited

Quantifying the link between local structure and cellular rearrangements using information in models of biological tissues

Indrajit Tah, Tristan A. Sharp, Andrea J. Liu +1

Machine learning techniques have been used to quantify the relationship between local structural features and variations in local dynamical activity in disordered glass-forming mat…

cond-mat.soft2019★ 21 cited

Signature of Dynamical Heterogeneity in Spatial Correlations of Particle Displacement and its Temporal Evolution in Supercooled Liquids

Indrajit Tah, Smarajit Karmakar

The existence of heterogeneity in the dynamics of supercooled liquids is believed to be one of the hallmarks of the glass transition. Intense research has been carried out in the p…

cond-mat.stat-mech2018★ 37 cited

Non-Gaussianity of van Hove Function and Dynamic Heterogeneity Length Scale

Bhanu Prasad Bhowmik, Indrajit Tah, Smarajit Karmakar

Non-Gaussian nature of the probability distribution of particles' displacements in the supercooled temperature regime in glass-forming liquids are believed to be one of the major h…

cond-mat.soft2017★ 15 cited

Possible Universal Relation Between Short time -relaxation and Long time -relaxation in Glass-forming Liquids

Rajsekhar Das, Indrajit Tah, Smarajit Karmakar

Relaxation processes in supercooled liquids are known to exhibit interesting as well as complex behavior. One of the hallmarks of this relaxation process observed in the measured a…

cond-mat.soft2017★ 26 cited

Block Analysis for the Calculation of Dynamic and Static Length Scales in Glass-Forming Liquids

Saurish Chakrabarty, Indrajit Tah, Smarajit Karmakar +1

We present {\it block analysis}, an efficient method to perform finite-size scaling for obtaining the length scale of dynamic heterogeneity and the point-to-set length scale for ge…

cond-mat.soft2017★ 48 cited

Glass Transition in Supercooled Liquids with Medium Range Crystalline Order

Indrajit Tah, Shiladitya Sengupta, Srikanth Sastry +2

The origins of rapid dynamical slow down in glass forming liquids in the growth of static length scales, possibly associated with identifiable structural ordering, is a much debate…