JeLLyFysh-Version1.0 - a Python application for all-atom event-chain Monte Carlo

  • Philipp Höllmer (Contributor)
  • Liang Qin (Contributor)
  • Michael F. Faulkner (Contributor)
  • A. C. Maggs (Contributor)
  • Werner Krauth (Contributor)

Dataset

Description

We present JeLLyFysh-Version1.0, an open-source Python application for event-chain Monte Carlo (ECMC), an event-driven irreversible Markov-chain Monte Carlo algorithm for classical N-body simulations in statistical mechanics, biophysics and electrochemistry. The application’s architecture mirrors the mathematical formulation of ECMC. Local potentials, long-ranged Coulomb interactions and multi-body bending potentials are covered, as well as bounding potentials and cell systems including the cell-veto algorithm. Configuration files illustrate a number of specific implementations for interacting atoms, dipoles, and water molecules.
Date made available2020
PublisherMendeley Data

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