activity
20022026
most citedQuantifying force networks in particulate systems

65 citations · 239 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CG2026

Denoising 3D images: robustness of persistent homology measures

Ebru Dagdelen, Aakash Karlekar, Manav Arora +4

When computing sub/super-level-set persistent homology (PH), the effect of noise may introduce millions of (short-lived) topological generators, presenting an obstacle to both the…

cond-mat.soft2023★ 8 cited

Intruder in a two-dimensional granular system: statics and dynamics of force networks in an experimental system experiencing stick-slip dynamics

R. Basak, R. Kozlowski, L. A. Pugnaloni +4

In quasi-two-dimensional experiments with photoelastic particles confined to an annular region, an intruder constrained to move in a circular path halfway between the annular walls…

cond-mat.soft2020★ 5 cited

Dielectrowetting of a thin nematic liquid crystal layer

Ensela Mema, Lou Kondic, Linda J. Cummings

We consider a mathematical model that describes the flow of a Nematic Liquid Crystal (NLC) film placed on a flat substrate, across which a spatially-varying electric potential is a…

cond-mat.soft2017★ 35 cited

Granular Response to Impact: Topology of the Force Networks

T. Tadanaga, Abram H. Clark, T. Majmudar +1

Impact of an intruder on granular matter leads to formation of mesoscopic force networks seen particularly clearly in the recent experiments carried out with photoelastic particles…

physics.comp-ph2015★ 14 cited

Scaling Properties of Force Networks for Compressed Particulate Systems

Lenka Kovalcinova, Arnaud Goullet, Lou Kondic

We consider, computationally and experimentally, the scaling properties of force networks in the systems of circular particles exposed to compression in two spatial dimensions. The…

physics.data-an2015★ 25 cited

Structure of force networks in tapped particulate systems of disks and pentagons (Part 2): Persistence analysis

L. Kondic, M. Kramar, L. A. Pangolin +2

In the companion paper~\cite{paper1}, we use classical measures based on force probability density functions (PDFs), as well as Betti numbers (quantifying the number of components,…