DL_MONTE: a multipurpose code for Monte Carlo simulation

A. V. Brukhno, J. Grant, T. L. Underwood*, K. Stratford, S. C. Parker, J. A. Purton, N. B. Wilding

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

DL_MONTE is an open-source, general-purpose software package for performing Monte Carlo (MC) simulations. It includes a wide variety of force fields and MC techniques, and thus is applicable to a broad range of problems in molecular simulation. Here we provide an overview of DL_MONTE, focussing on key features recently added to the package. These include the ability to treat systems confined to a planar pore (i.e. ‘slit’ or ‘slab’ boundary conditions); the lattice-switch Monte Carlo (LSMC) method for evaluating precise free energy differences between competing polymorphs; various commonly used methods for evaluating free energy profiles along transition pathways (including umbrella sampling, Wang–Landau and transition matrix); and a supplementary Python toolkit for simulation management and application of the histogram reweighting analysis method. We provide two ‘real-world’ examples to elucidate the use of these methods in DL_MONTE. In particular, we apply umbrella sampling to calculate the free energy profile associated with the translocation of a lipid through a bilayer. Moreover, we employ LSMC to examine the thermodynamic stability of two plastic crystal phases of water at high pressure. Beyond this, we provide instructions on how to access DL_MONTE and point to additional information valuable to existing and prospective users.

Original languageEnglish
JournalMolecular simulation
Publication statusPublished - 1 Jan 2019

Keywords / Materials (for Non-textual outputs)

  • free energy
  • molecular modelling
  • Monte Carlo
  • MPI
  • open-source software


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