7 citations · 33 across the 8 of their papers we have counts for
6 papers · 1 filter
Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions
David Yevick
Variational autoencoders employ an encoding neural network to generate a probabilistic representation of a data set within a low-dimensional space of latent variables followed by a…
Accuracy and Efficiency of Simplified Tensor Network Codes
David Yevick, Jesse Thompson
We examine in detail the accuracy, efficiency and implementation issues that arise when a simplified code structure is employed to evaluate the partition function of the two-dimens…
A Cluster Controller for Transition Matrix Calculations
David Yevick, Yong Hwan Lee
We demonstrate that a temperature schedule for single-spin flip transition matrix calculations can be simply and rapidly generated by monitoring the average size of the Wolff clust…
A Projected Entropy Controller for Transition Matrix Calculations
David Yevick
We define the projected entropy S(T) at a given temperature T in the context of an Ising model transition matrix calculation as the entropy associated with the distribution of Mark…
Transition Matrix Cluster Algorithms
David Yevick, Yong Hwan Lee
We demonstrate that a series of procedures for increasing the efficiency of transition matrix calculations can be realized by integrating the standard single-spin flip transition m…
Dynamic Canonical and Microcanonical Transition Matrix Analyses of Critical Behavior
David Yevick, Yong Hwan Lee
By monitoring the sampling of states with different magnetizations in transition matrix procedures a family of accurate and easily implemented techniques are constructed that autom…