activity
20052026
most citedContinuous-time Monte Carlo methods for quantum impurity models

1.6k citations · 9.7k across the 123 of their papers we have counts for

collaborators
Showing cond-mat.stat-mechShow all

5 papers · 1 filter

cond-mat.stat-mech2018★ 50 cited

Chebyshev polynomial representation of imaginary time response functions

Emanuel Gull, Sergei Iskakov, Igor Krivenko +2

Problems of finite-temperature quantum statistical mechanics can be formulated in terms of imaginary (Euclidean) -time Green's functions and self-energies. In the context of realis…

cond-mat.stat-mech2010★ 12 cited

Optimized broad-histogram simulations for strong first-order phase transitions: Droplet transitions in the large-Q Potts model

Bela Bauer, Emanuel Gull, Simon Trebst +2

The numerical simulation of strongly first-order phase transitions has remained a notoriously difficult problem even for classical systems due to the exponentially suppressed (ther…

cond-mat.stat-mech2007★ 14 cited

Optimized Broad-Histogram Ensembles for the Simulation of Quantum Systems

Stefan Wessel, Norbert Stoop, Emanuel Gull +2

The efficiency of statistical sampling in broad-histogram Monte Carlo simulations can be considerably improved by optimizing the simulated extended ensemble for fastest equilibrati…

cond-mat.stat-mech2006

Ensemble Optimization Techniques for the Simulation of Slowly Equilibrating Systems

S. Trebst, D. A. Huse, E. Gull +3

Competing phases or interactions in complex many-particle systems can result in free energy barriers that strongly suppress thermal equilibration. Here we discuss how extended ense…

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…