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20162026
most citedStatistical and hydrodynamic properties of topological polymers for various graphs showing enhanced short-range correlation

33 citations · 39 across the 5 of their papers we have counts for

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cond-mat.stat-mech2026★ 1 cited

Random knotting in very long off-lattice self-avoiding polygons

Jason Cantarella, Tetsuo Deguchi, Henrik Schumacher +2

We present experimental results on knotting in off-lattice self-avoiding polygons in the bead-chain model. Using Clisby's tree data structure and the scale-free pivot algorithm, fo…

cond-mat.stat-mech2025

An exact formula for the contraction factor of a subdivided Gaussian topological polymer

Jason Cantarella, Tetsuo Deguchi, Clayton Shonkwiler +1

We consider the radius of gyration of a Gaussian topological polymer formed by subdividing a graph of arbitrary topology (for instance, branched or multicyclic). We give a…

cond-mat.stat-mech2022★ 1 cited

Random graph embeddings with general edge potentials

Jason Cantarella, Tetsuo Deguchi, Clayton Shonkwiler +1

In this paper, we study random embeddings of polymer networks distributed according to any potential energy which can be expressed in terms of distances between pairs of monomers.…

cond-mat.stat-mech2020

Radius of Gyration, Contraction Factors, and Subdivisions of Topological Polymers

Jason Cantarella, Tetsuo Deguchi, Clayton Shonkwiler +1

We consider the topologically constrained random walk model for topological polymers. In this model, the polymer forms an arbitrary graph whose edges are selected from an appropria…

cond-mat.stat-mech2020

Factoring the Laplacian to understand topological polymers

Jason Cantarella, Tetsuo Deguchi, Clayton Shonkwiler +1

A ring polymer is a random walk whose steps obey a single linear condition; their sum vanishes. Factoring the graph Laplacian into the product of the incidence matrix and its trans…