output
20102020
most citedGPU accelerated population annealing algorithm

57 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2017Show all

7 papers · 1 filter

cond-mat.stat-mech2017★ 2 cited

Influence of the random walk finite step on the first-passage probability

Olga Klimenkova, Anton Menshutin, Lev N. Shchur

A well known connection between first-passage probability of random walk and distribution of electrical potential described by Laplace equation is studied. We simulate random walk…

cond-mat.stat-mech2017★ 1 cited

On the mixing time in the Wang-Landau algorithm

Marina Fadeeva, Lev N. Shchur

We present preliminary results of the investigation of the properties of the Markov random walk in the energy space generated by the Wang-Landau probability. We build transition ma…

physics.soc-ph2017★ 5 cited

Dynamic fractals in spatial evolutionary games

Sergei Kolotev, Aleksandr Malyutin, Evgeni Burovski +2

We investigate critical properties of a spatial evolutionary game based on the Prisoner's Dilemma. Simulations demonstrate a jump in the component densities accompanied by drastic…

cond-mat.quant-gas2017★ 48 cited

The impact of the injection protocol on an impurity's stationary state

Oleksandr Gamayun, Oleg Lychkovskiy, Evgeni Burovski +3

We examine stationary state properties of an impurity particle injected into a one-dimensional quantum gas. We show that the value of the impurity's end velocity lies between zero…

cond-mat.stat-mech2017★ 18 cited

Control of accuracy in the Wang-Landau algorithm

L. Yu. Barash, M. A. Fadeeva, L. N. Shchur

The Wang-Landau (WL) algorithm has been widely used for simulations in many areas of physics. Our analysis of the WL algorithm explains its properties and shows that the difference…

physics.comp-ph2017★ 13 cited

Exploring first-order phase transitions with population annealing

Lev Yu. Barash, Martin Weigel, Lev N. Shchur +1

Population annealing is a hybrid of sequential and Markov chain Monte Carlo methods geared towards the efficient parallel simulation of systems with complex free-energy landscapes.…

physics.comp-ph2017★ 57 cited

GPU accelerated population annealing algorithm

Lev Yu. Barash, Martin Weigel, Michal Borovský +2

Population annealing is a promising recent approach for Monte Carlo simulations in statistical physics, in particular for the simulation of systems with complex free-energy landsca…