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Monte Carlo molecular simulations with FEASST version 0.25.1.

Harold W Hatch1, Daniel W Siderius1, Vincent K Shen1

  • 1Chemical Informatics Research Group, Chemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8380, USA.

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Summary

FEASST is an open-source Monte Carlo simulation package for particle-based modeling. Its object-oriented design facilitates studies of phase equilibrium, self-assembly, and adsorption in diverse materials.

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Area of Science:

  • Computational physics and chemistry
  • Materials science
  • Software engineering

Background:

  • Particle-based simulations are crucial for understanding complex systems.
  • Existing software packages often lack flexibility and extensibility.
  • The development of robust simulation tools is essential for scientific advancement.

Purpose of the Study:

  • To introduce FEASST (Fast Equilibrium And Self-assembly Simulation Tool), an open-source Monte Carlo software package.
  • To detail the unique features and object-oriented design of FEASST.
  • To provide comprehensive documentation and tutorials for users.

Main Methods:

  • Utilizing Monte Carlo methods, including flat-histogram grand canonical ensemble, Gibbs ensemble, and Mayer-sampling simulations.
  • Implementing an object-oriented design for enhanced flexibility and interoperability.
  • Supporting anisotropic models and parallelization for efficient computation.

Main Results:

  • FEASST enables the study of phase equilibrium, self-assembly, aggregation, gelation, and adsorption.
  • The software supports a variety of advanced simulation techniques.
  • Version 0.25.1 includes benchmarks, tutorials, and user guidelines.

Conclusions:

  • FEASST offers a powerful, flexible, and extensible platform for particle-based simulations.
  • Its design facilitates community contributions and software interoperability.
  • The package empowers researchers to tackle complex problems in diverse scientific domains.