648 citations · 5.2k across the 89 of their papers we have counts for
89 papers
Lifted TASEP: a Bethe ansatz integrable paradigm for non-reversible Markov chains
Fabian H. L. Essler, Werner Krauth
Markov-chain Monte Carlo (MCMC), the field of stochastic algorithms built on the concept of sampling, has countless applications in science and technology. The overwhelming majorit…
Molecular simulation from modern statistics: Continuous-time, continuous-space, exact
Philipp Hoellmer, A. C. Maggs, Werner Krauth
In a world made of atoms, the computer simulation of molecular systems, such as proteins in water, plays an enormous role in science. Software packages that perform these computati…
The Liquid--Hexatic Transition for Soft Disks
Yoshihiko Nishikawa, Werner Krauth, A. C. Maggs
We study the liquid--hexatic transition of soft disks with massively parallel simulations and determine the equation of state as a function of system size. For systems with interac…
Hard-disk computer simulations -- a historic perspective
Botao Li, Yoshihiko Nishikawa, Philipp Hoellmer +3
We discuss historic pressure computations for the hard-disk model performed since 1953, and compare them to results that we obtain with a powerful event-chain Monte Carlo and a mas…
Hard-disk dipoles and non-reversible Markov chains
Philipp Hoellmer, A. C. Maggs, Werner Krauth
We benchmark event-chain Monte Carlo (ECMC) algorithms for tethered hard-disk dipoles in two dimensions in view of application of ECMC to water models in molecular simulation. We c…
Large-scale dynamics of event-chain Monte Carlo
A. C. Maggs, Werner Krauth
Event-chain Monte Carlo (ECMC) accelerates the sampling of hard-sphere systems, and has been generalized to the potentials used in classical molecular simulation. Rather than impos…