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Updated: Sep 19, 2025

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
Published on: January 15, 2016
Event-chain Monte Carlo and the true self-avoiding walk
1Université PSL, CNRS Gulliver, ESPCI Paris, 10 rue Vauquelin, 75005 Paris, France.
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We study the large-scale dynamics of event-chain Monte Carlo (ECMC) algorithms in one dimension and their relation to the true self-avoiding walk. In particular, we study the influence of stress and different forms of interaction on the equilibration and sampling properties of algorithms that satisfy global balance but not local balance. We conclude that a broad class of interaction potentials, corresponding to different physical systems, display identical large-scale dynamics.
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