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Indrajit Tah
Indrajit Tah
Assistant Professor/Scientist, CSIR_CGCRI
Verified email at cgcri.res.in - Homepage
Title
Cited by
Cited by
Year
Glass transition in supercooled liquids with medium-range crystalline order
I Tah, S Sengupta, S Sastry, C Dasgupta, S Karmakar
Physical review letters 121 (8), 085703, 2018
412018
Non-Gaussianity of the van Hove function and dynamic-heterogeneity length scale
BP Bhowmik, I Tah, S Karmakar
Physical Review E 98 (2), 022122, 2018
352018
Block analysis for the calculation of dynamic and static length scales in glass-forming liquids
S Chakrabarty, I Tah, S Karmakar, C Dasgupta
Physical Review Letters 119 (20), 205502, 2017
282017
Fragility in glassy liquids: A structural approach based on machine learning
I Tah, SA Ridout, AJ Liu
The Journal of Chemical Physics 157 (12), 2022
242022
Quantifying the link between local structure and cellular rearrangements using information in models of biological tissues
I Tah, TA Sharp, AJ Liu, DM Sussman
Soft Matter 17 (45), 10242-10253, 2021
172021
Understanding slow and heterogeneous dynamics in model supercooled glass-forming liquids
I Tah, A Mutneja, S Karmakar
ACS omega 6 (11), 7229-7239, 2021
162021
How does a hydrophobic macromolecule respond to a mixed osmolyte environment?
I Tah, J Mondal
The Journal of Physical Chemistry B 120 (42), 10969-10978, 2016
162016
Signature of dynamical heterogeneity in spatial correlations of particle displacement and its temporal evolution in supercooled liquids
I Tah, S Karmakar
Physical Review Research 2 (2), 022067, 2020
152020
Possible universal relation between short time β-relaxation and long time α-relaxation in glass-forming liquids
R Das, I Tah, S Karmakar
The Journal of chemical physics 149 (2), 2018
142018
Kinetic fragility directly correlates with the many-body static amorphous order in glass-forming liquids
I Tah, S Karmakar
Physical Review Materials 6 (3), 035601, 2022
72022
Soft matter roadmap
JL Barrat, E Del Gado, SU Egelhaaf, X Mao, M Dijkstra, DJ Pine, ...
Journal of Physics: Materials 7 (1), 012501, 2023
42023
Building a “trap model” of glassy dynamics from a local structural predictor of rearrangements
SA Ridout, I Tah, AJ Liu
Europhysics Letters 144 (4), 47001, 2023
32023
Tuning for fluidity using fluctuations in biological tissue models
S Arzash, I Tah, AJ Liu, ML Manning
arXiv preprint arXiv:2312.11683, 2023
22023
A minimal model predicts cell shapes and tissue mechanics in the amnioserosa during dorsal closure
I Tah, D Haertter, J Crawford, DP Kiehart, C Schmidt, AJW Liu
Biophysical Journal 121 (3), 263a, 2022
12022
Biological tissues can fluidize by tuning their internal degrees of freedom
S Arzash, I Tah, A Liu, ML Manning
Bulletin of the American Physical Society, 2024
2024
Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure
I Tah, D Haertter, JM Crawford, DP Kiehart, CF Schmidt, AJ Liu
arXiv preprint arXiv:2312.12926, 2023
2023
Adding learning degrees of freedom in biological tissues
S Arzash, I Tah, A Liu, ML Manning
APS March Meeting Abstracts 2023, K10. 002, 2023
2023
Assessing the connection between cellular rearrangements and local structure using information in models of biological tissues.
I Tah, T Sharp, A Liu, D Sussman
APS March Meeting Abstracts 2021, R16. 002, 2021
2021
Section 4.5–Machine learning for soft matter learning
SA Ridout, M Stern, I Tah, G Zhang, AJ Liu
Soft Matter Roadmap 22, 23, 0
Role of Static and Dynamic Length Scales in Glass Transition
I Tah
Mumbai, 0
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Articles 1–20