Hoellmer Qin Faulkner Maggs Krauth 2019

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[http://arxiv.org/pdf/1907.12502 Electronic version (from arXiv)] [http://arxiv.org/pdf/1907.12502 Electronic version (from arXiv)]
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[https://github.com/jellyfysh GitHub site of the JeLLyFysh organization, from which the open-source application can be forked (that is, downloaded)] [https://github.com/jellyfysh GitHub site of the JeLLyFysh organization, from which the open-source application can be forked (that is, downloaded)]

Revision as of 23:10, 5 August 2019

Paper

Abstract

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 closely 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.


Electronic version (from arXiv)

GitHub site of the JeLLyFysh organization, from which the open-source application can be forked (that is, downloaded)

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