activity
20172026
most citedSpatially Heterogeneous Dynamics of Cells in a Growing Tumor Spheroid: Comparison Between Theory and Experiments

55 citations · 132 across the 17 of their papers we have counts for

collaborators

17 papers

cond-mat.stat-mech2026

LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems

Shida Liu, Abhishek Gupta, Sumit Sinha +1

Symmetry is central to modern machine learning and physics: invariances and equivariances improve sample efficiency, robustness, and out-of-distribution generalization, while symme…

cond-mat.stat-mech2026

Generative optimal transport via forward-backward HJB matching

Haiqian Yang, Vishaal Krishnan, Sumit Sinha +1

Controlling the evolution of a many-body stochastic system from a disordered reference state to a structured target ensemble, characterized empirically through samples, arises natu…

cond-mat.soft2026

Morphological instability of an invasive active-passive interface

Sumit Sinha, Haiqian Yang, L Mahadevan

Morphological instabilities of growing tissues that impinge on passive materials are typical of invasive cancers. To explain these instabilities in experiments on breast epithelial…

cond-mat.soft2025

Controlling the morphologies and dynamics in three-dimensional tissues

Rajsekhar Das, Xin Li, Sumit Sinha +1

A number of factors, such as, cell-cell interactions and self-propulsion of cells driven by cytoskeletal forces determine tissue morphologies and dynamics. To explore the interplay…

cond-mat.soft2024★ 2 cited

Hamiltonian bridge: A physics-driven generative framework for targeted pattern control

Vishaal Krishnan, Sumit Sinha, L. Mahadevan

Patterns arise spontaneously in a range of systems spanning the sciences, and their study typically focuses on mechanisms to understand their evolution in space-time. Increasingly,…

cond-mat.soft2024

Proliferation-driven mechanical feedback regulates cell dynamics in growing tissues

Sumit Sinha, Xin Li, Abdul N Malmi-Kakkada +1

Local stresses in a tissue, a collective property, regulate cell division and apoptosis. In turn, cell growth and division induce active stresses in the tissue. As a consequence, t…

cond-mat.soft2023★ 2 cited

Optimal control of interacting active particles on complex landscapes

Sumit Sinha, Vishaal Krishnan, L Mahadevan

Active many-body systems composed of many interacting degrees of freedom often operate out of equilibrium, giving rise to non-trivial emergent behaviors which can be functional in…

cond-mat.soft2022

Free volume theory explains the unusual behavior of viscosity in a non-confluent tissue during morphogenesis

Rajsekhar Das, Sumit Sinha, Xin Li +2

A recent experiment on zebrafish blastoderm morphogenesis showed that the viscosity (η) of a non-confluent embryonic tissue grows sharply until a critical cell packing fraction (ϕS…

cond-mat.soft2022

Statistical Mechanical theory for spatio-temporal evolution of Intra-tumor heterogeneity in cancers: Analysis of Multiregion sequencing data

Sumit Sinha, Xin Li, Dave Thirumalai

Heterogeneity in characteristics from one region (sub-population) to another, commonly observed in complex systems, such as glasses and a collection of cells, is hard to describe t…

cond-mat.soft2022

Tracer particles sense local stresses in an evolving multicellular spheroid without affecting the anomalous dynamics of the cancer cells

Himadri S. Samanta, Sumit Sinha, D. Thirumalai

Measurements of local stresses on the cancer cells (CCs), inferred by embedding inert compressible tracer particles (TPs) in a growing multicellular spheroid (MCS), show that press…

cond-mat.soft2022★ 18 cited

Mechanical feedback controls the emergence of dynamical memory in growing tissue monolayers

Sumit Sinha, Xin Li, Rajsekhar Das +1

The growth of a tissue, which depends on cell-cell interactions and biologically relevant process such as cell division and apoptosis, is regulated by a mechanical feedback mechani…

cond-mat.soft2021★ 14 cited

Inter-particle adhesion regulates the surface roughness of growing dense three-dimensional active particle aggregates

Sumit Sinha, Abdul N Malmi-Kakkada

Activity and self-generated motion are fundamental features observed in many living and non-living systems. Given that inter-particle adhesive forces are known to regulate particle…

physics.bio-ph2020★ 18 cited

Self-generated persistent random forces drive phase separation in growing tumors

Sumit Sinha, D. Thirumalai

A single solid tumor, composed of nearly identical cells, exhibits heterogeneous dynamics. Cells dynamics in the core is glass-like whereas those in the periphery undergo diffusive…

physics.bio-ph2020★ 1 cited

Far from equilibrium dynamics of tracer particles embedded in a growing multicellular spheroid

Himadri S. Samanta, Sumit Sinha, D. Thirumalai

By embedding inert tracer particles (TPs) in a growing multicellular spheroid the local stresses on the cancer cells (CCs) can be measured. In order for this technique to be effect…

physics.bio-ph2019★ 55 cited

Spatially Heterogeneous Dynamics of Cells in a Growing Tumor Spheroid: Comparison Between Theory and Experiments

Sumit Sinha, Abdul N Malmi-Kakkada, Xin Li +2

Collective cell movement, characterized by multiple cells that are in contact for substantial periods of time and undergo correlated motion, plays a central role in cancer and embr…

cond-mat.soft2019★ 1 cited

Dual Role of Cell-Cell Adhesion In Tumor Suppression and Proliferation Due to Collective Mechanosensing

Abdul Malmi-Kakkada, Xin Li, Sumit Sinha +1

It is known that mechanical interactions couple a cell to its neighbors, enabling a feedback loop to regulate tissue growth. However, the interplay between cell-cell adhesion stren…

q-bio.CB2017★ 21 cited

Cell growth rate dictates the onset of glass to fluid-like transition and long time super-diffusion in an evolving cell colony

Abdul N Malmi-Kakkada, Xin Li, Himadri S. Samanta +2

Collective migration dominates many phenomena, from cell movement in living systems to abiotic self-propelling particles. Focusing on the early stages of tumor evolution, we enunci…