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MOCASSIN: Metropolis and kinetic Monte Carlo for solid electrolytes.

Sebastian Eisele1,2, Steffen Grieshammer1,2

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MOCASSIN software enables atomistic modeling of defect transport in solid electrolytes using Monte Carlo simulations. This tool simplifies complex simulations for researchers investigating material properties.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Solid-State Physics

Background:

  • Atomistic modeling is crucial for understanding defect transport in solid electrolytes.
  • Density functional theory and Monte Carlo simulations offer powerful simulation capabilities.
  • Accessible software is needed to facilitate research in this area.

Purpose of the Study:

  • Introduce MOCASSIN (Monte Carlo for Solid State Ionics) software.
  • Provide an accessible tool for kinetic and Metropolis Monte Carlo simulations of crystalline materials.
  • Facilitate the investigation and screening of solid electrolytes.

Main Methods:

  • Developed MOCASSIN software integrating model building, visualization, and simulation.
  • Utilized space groups for efficient symmetry processing to minimize input effort.
  • Implemented a graphical interface supporting complex models with multiple species, migration paths, and mechanisms.

Main Results:

  • MOCASSIN facilitates atomistic modeling of defect transport in solid electrolytes.
  • The software allows for screening of parameters like temperature and doping fraction.
  • Complex simulation inputs, including polaron hopping and multiple migration mechanisms, are supported.

Conclusions:

  • MOCASSIN provides an accessible and powerful platform for solid electrolyte research.
  • The software streamlines the simulation process for end-users.
  • MOCASSIN is freely available for non-commercial use, promoting further scientific discovery.