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RASPA3: A Monte Carlo code for computing adsorption and diffusion in nanoporous materials and thermodynamics

Y A Ran1, S Sharma2, S R G Balestra3

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RASPA3 is a new molecular simulation code for adsorption and diffusion in nanoporous materials. It offers enhanced speed and features like transition-matrix Monte Carlo for improved property calculations.

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Area of Science:

  • Computational chemistry and materials science.
  • Development of advanced simulation methodologies.

Background:

  • Molecular simulation is crucial for understanding adsorption and diffusion in nanoporous materials.
  • Existing codes like RASPA2 require updates for improved efficiency and expanded capabilities.

Purpose of the Study:

  • Introduce RASPA3, a significantly revised molecular simulation code.
  • Highlight new features and improvements over its predecessor, RASPA2.
  • Provide a comprehensive comparison of different Monte Carlo techniques for adsorption studies.

Main Methods:

  • Rewritten in C++23 for enhanced speed and readability.
  • Implementation of transition-matrix Monte Carlo for density of states and free energy calculations.
  • Utilized quaternion-based Monte Carlo for rigid molecules and expanded ensemble for fractional molecules.

Main Results:

  • RASPA3 demonstrates improved performance and code maintainability.
  • Comparison of four Monte Carlo insertion/deletion techniques (Metropolis, CBMC, CFCMC, CB/CFCMC) across various metrics.
  • Detailed analysis of particle distribution, acceptance ratios, isotherm accuracy, adsorption enthalpies, and chemical potentials.

Conclusions:

  • RASPA3 offers a powerful and efficient platform for molecular simulations of nanoporous materials.
  • The study provides valuable insights into the performance of different Monte Carlo methods for adsorption.
  • The freely available source code facilitates further research and development in the field.