34 citations · 49 across the 20 of their papers we have counts for
5 papers · 1 filter
Disks, Surfaces, and Entanglement Percolation
Paul Duncan, Benjamin Schweinhart, David Sivakoff
We study the probability that a loop is null-homotopic -- that is, bounded by the continuous image of a disk -- in plaquette percolation on Locally, the event that…
Dependence of Microstructure Classification Accuracy on Crystallographic Data Representation
Shrunal Pothagoni, Dylan Miley, Tyrus Berry +2
Convolutional neural networks are increasingly being used to analyze and classify material microstructures, motivated by the possibility that they will be able to identify relevant…
On the Continuity of Enhancement Percolation
Paul Duncan, Benjamin Schweinhart, David Sivakoff
We study bond percolation in with an unbounded family of enhancements that enable additional bonds to act as open. A natural question is whether percolation occurs i…
Classification of Histopathology Slides with Persistent Homology Convolutions
Shrunal Pothagoni, Benjamin Schweinhart
Convolutional neural networks (CNNs) are a standard tool for computer vision tasks such as image classification. However, typical model architectures may result in the loss of topo…
Generalized cluster algorithms for Potts lattice gauge theory
Anthony E. Pizzimenti, Paul Duncan, Benjamin Schweinhart
Monte Carlo algorithms, like the Swendsen-Wang and invaded-cluster, sample the Ising and Potts models asymptotically faster than single-spin Glauber dynamics do. Here, we generaliz…