activity
20122026
most citedCell contraction induces long-ranged stress stiffening in the extracellular matrix

316 citations · 1k across the 30 of their papers we have counts for

collaborators

30 papers

cond-mat.soft2026

A statistical-physics framework for translocation elastometry of deformable particles

Pierre Ronceray

A soft particle driven through a pore narrower than itself must deform to pass, and how quickly it does so is set by how hard it is to squeeze. We propose a mathematical framework…

cond-mat.soft2025

Learning general pair interactions between self-propelled particles

Jérôme Hem, Alexis Poncet, Pierre Ronceray +2

Synthetic active matter systems, such as active colloids, often have complex interactions, which can be of hydrodynamic, chemical or electrostatic origin and cannot be computed fro…

cond-mat.soft2025★ 1 cited

Topological defect engineering enables size and shape control in self-assembly

Lara Koehler, Markus Eder, Vincent Ouazan-Reboul +7

The self-assembly of complex structures from engineered subunits is a major goal of nanotechnology, but controlling their size becomes increasingly difficult in larger assemblies.…

cond-mat.soft2025★ 1 cited

Principled model selection for stochastic dynamics

Andonis Gerardos, Pierre Ronceray

Complex dynamical systems, from macromolecules to ecosystems, are often modeled by stochastic differential equations. To learn such models from data, a common approach involves spa…

cond-mat.soft2024

Learning dynamical models from stochastic trajectories

Pierre Ronceray

The dynamics of biological systems, from proteins to cells to organisms, is complex and stochastic. To decipher their physical laws, we need to bridge between experimental observat…

physics.bio-ph2023

Inferring geometrical dynamics of cell nucleus translocation

Sirine Amiri, Yirui Zhang, Andonis Gerardos +2

The ability of eukaryotic cells to squeeze through constrictions is limited by the stiffness of their large and rigid nucleus. However, migrating cells are often able to overcome t…

cond-mat.soft2023★ 6 cited

How do particles with complex interactions self-assemble?

Lara Koehler, Pierre Ronceray, Martin Lenz

In living cells, proteins self-assemble into large functional structures based on specific interactions between molecularly complex patches. Due to this complexity, protein self-as…

cond-mat.soft2022

Local Nonlinear Elastic Response of Extracellular Matrices

Haiqian Yang, Estelle Berthier, Chenghai Li +5

Nonlinear stiffening is a ubiquitous property of major types of biopolymers that make up the extracellular matrices (ECM) including collagen, fibrin and basement membrane. Within t…

cond-mat.soft2022★ 1 cited

Nonlinear mechanosensation in fiber networks

Estelle Berthier, Haiqian Yang, Ming Guo +2

In a diversity of physiological contexts, eukaryotic cells adhere to an extracellular matrix (ECM), a disordered network with complex nonlinear mechanics. Such cells can perform me…

cond-mat.soft2021★ 7 cited

Self-organization and shape change by active polarization in nematic droplets

Fabian Jan Schwarzendahl, Pierre Ronceray, Kimberly L. Weirich +1

Active forces occurring within cells can drive crucial biological processes that involve spontaneous organization and shape change, such as cell division. Motivated by recent in vi…

cond-mat.soft2021★ 47 cited

Liquid demixing in elastic networks: cavitation, permeation, or size selection?

Pierre Ronceray, Sheng Mao, Andrej Košmrlj +1

Demixing of multicomponent biomolecular systems via liquid-liquid phase separation (LLPS) has emerged as a potentially unifying mechanism governing the formation of several membran…

cond-mat.soft2021★ 42 cited

Stoichiometry controls the dynamics of liquid condensates of associative proteins

Pierre Ronceray, Yaojun Zhang, Xichong Liu +1

Multivalent associative proteins with strong complementary interactions play a crucial role in phase separation of intracellular liquid condensates. We study the internal dynamics…

physics.bio-ph2020★ 88 cited

Learning the dynamics of cell-cell interactions in confined cell migration

David B. Brückner, Nicolas Arlt, Alexandra Fink +3

The migratory dynamics of cells in physiological processes, ranging from wound healing to cancer metastasis, rely on contact-mediated cell-cell interactions. These interactions pla…

physics.bio-ph2020★ 91 cited

Inferring the dynamics of underdamped stochastic systems

David B. Brückner, Pierre Ronceray, Chase P. Broedersz

Many complex systems, ranging from migrating cells to animal groups, exhibit stochastic dynamics described by the underdamped Langevin equation. Inferring such an equation of motio…

physics.bio-ph2020★ 33 cited

Learning the Non-Equilibrium Dynamics of Brownian Movies

F. S. Gnesotto, G. Gradziuk, P. Ronceray +1

Time-lapse microscopy imaging provides direct access to the dynamics of soft and living systems. At mesoscopic scales, such microscopy experiments reveal intrinsic fluctuations, wh…

cond-mat.stat-mech2019★ 16 cited

The range of geometrical frustration in lattice spin models

Pierre Ronceray, Bruno Le Floch

The concept of geometrical frustration in condensed matter physics refers to the fact that a system has a locally preferred structure with an energy density lower than the infinite…

physics.bio-ph2019★ 58 cited

Magic numbers in polymer phase separation -- the importance of being rigid

Bin Xu, Guanhua He, Benjamin G. Weiner +4

Cells possess non-membrane-bound bodies, many of which are now understood as phase-separated condensates. One class of such condensates is composed of two polymer species, where ea…

cond-mat.soft2018★ 76 cited

Learning force fields from stochastic trajectories

Anna Frishman, Pierre Ronceray

When monitoring the dynamics of stochastic systems, such as interacting particles agitated by thermal noise, disentangling deterministic forces from Brownian motion is challenging.…

cond-mat.soft2018★ 12 cited

Fiber plucking by molecular motors yields large emergent contractility in stiff biopolymer networks

Pierre Ronceray, Chase P. Broedersz, Martin Lenz

The mechanical properties of the cell depend crucially on the tension of its cytoskeleton, a biopolymer network that is put under stress by active motor proteins. While the fibrous…

physics.bio-ph2018

Stress-dependent amplification of active forces in nonlinear elastic media

Pierre Ronceray, Chase Broedersz, Martin Lenz

The production of mechanical stresses in living organisms largely relies on localized, force-generating active units embedded in filamentous matrices. Numerical simulations of disc…

cond-mat.dis-nn2017★ 6 cited

Structural Covariance in the Hard Sphere Fluid

Benjamin M. G. D. Carter, Francesco Turci, Pierre Ronceray +1

We study the joint variability of structural information in a hard sphere fluid biased to avoid crystallisation and form fivefold symmetric geometric motifs. We show that the struc…

physics.bio-ph2017★ 316 cited

Cell contraction induces long-ranged stress stiffening in the extracellular matrix

Yu Long Han, Pierre Ronceray, Guoqiang Xu +5

Animal cells in tissues are supported by biopolymer matrices, which typically exhibit highly nonlinear mechanical properties. While the linear elasticity of the matrix can signific…

cond-mat.soft2017★ 18 cited

Suppression of crystalline fluctuations by competing structures in a supercooled liquid

Pierre Ronceray, Peter Harrowell

We propose a geometrical characterization of amorphous liquid structures that suppress crystallization by competing locally with crystalline order. We introduce for this purpose th…

cond-mat.soft2016★ 8 cited

From Liquid Structure to Configurational Entropy: Introducing Structural Covariance

Pierre Ronceray, Peter Harrowell

We connect the configurational entropy of a liquid to the geometrical properties of its local energy landscape, using a high-temperature expansion. It is proposed that correlations…