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cond-mat.stat-mech2005★ 22 cited
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…
cond-mat.stat-mech2004★ 21 cited
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…