158 citations · 472 across the 7 of their papers we have counts for
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Optimized ensemble Monte Carlo simulations of dense Lennard-Jones fluids
Simon Trebst, Emanuel Gull, Matthias Troyer
We apply the recently developed adaptive ensemble optimization technique to simulate dense Lennard-Jones fluids and a particle-solvent model by broad-histogram Monte Carlo techniqu…
Overcoming the critical slowing down of flat-histogram Monte Carlo simulations: Cluster updates and optimized broad-histogram ensembles
Yong Wu, Mathias Koerner, Louis Colonna-Romano +4
We study the performance of Monte Carlo simulations that sample a broad histogram in energy by determining the mean first-passage time to span the entire energy space of d-dimensio…
Dynamics of the Wang-Landau algorithm and complexity of rare events for the three-dimensional bimodal Ising spin glass
S. Alder, S. Trebst, A. K. Hartmann +1
We investigate the performance of flat-histogram methods based on a multicanonical ensemble and the Wang-Landau algorithm for the three-dimensional +/- J spin glass by measuring ro…
Optimizing the ensemble for equilibration in broad-histogram Monte Carlo simulations
Simon Trebst, David A. Huse, Matthias Troyer
We present an adaptive algorithm which optimizes the statistical-mechanical ensemble in a generalized broad-histogram Monte Carlo simulation to maximize the system's rate of round…
Performance Limitations of Flat Histogram Methods and Optimality of Wang-Landau Sampling
P. Dayal, S. Trebst, S. Wessel +4
We determine the optimal scaling of local-update flat-histogram methods with system size by using a perfect flat-histogram scheme based on the exact density of states of 2D Ising m…