activity
20242026
most citedRandom knotting in very long off-lattice self-avoiding polygons

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.GT2026

Hard unknots are often easy from a different perspective

Jason Cantarella, Henrik Schumacher, Clayton Shonkwiler

Recent attempts to train AI models to recognize knots have produced millions of "hard" unknot diagrams resistant to simplification by Reidemeister moves, pass moves, or random walk…

cond-mat.stat-mech20261 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…

math.GT2025

New Upper Bounds for Stick Numbers

Jason Cantarella, Andrew Rechnitzer, Henrik Schumacher +1

We use a version of simulated annealing with knot-type preserving moves to find polygonal representatives of various knot types with low stick number. These give better bounds on s…

math.CO2024

On the average squared radius of gyration of a family of embeddings of subdivision graphs

Jason Cantarella, Henrik Schumacher, Clayton Shonkwiler

Suppose we have an embedding of a graph created by subdividing the edges of a simpler graph . The edges of can be divided into subsets which…

cond-mat.stat-mech2024

A faster direct sampling algorithm for equilateral closed polygons and the probability of knotting

Jason Cantarella, Henrik Schumacher, Clayton Shonkwiler

We present a faster direct sampling algorithm for random equilateral closed polygons in three-dimensional space. This method improves on the moment polytope sampling algorithm of C…