4.6 Article

Diffusion in confinement: kinetic simulations of self- and collective diffusion behavior of adsorbed gases

Journal

PHYSICAL CHEMISTRY CHEMICAL PHYSICS
Volume 14, Issue 33, Pages 11600-11609

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/c2cp41147d

Keywords

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Funding

  1. Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy
  2. Center for Gas Separations Relevant
  3. Energy Frontier Research Center
  4. U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-SC0001015]

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The self- and collective-diffusion behaviors of adsorbed methane, helium, and isobutane in zeolite frameworks LTA, MFI, AFI, and SAS were examined at various concentrations using a range of molecular simulation techniques including Molecular Dynamics (MD), Monte Carlo (MC), Bennett-Chandler (BC), and kinetic Monte Carlo (kMC). This paper has three main results. (1) A novel model for the process of adsorbate movement between two large cages was created, allowing the formulation of a mixing rule for the re-crossing coefficient between two cages of unequal loading. The predictions from this mixing rule were found to agree quantitatively with explicit simulations. (2) A new approach to the dynamically corrected Transition State Theory method to analytically calculate self-diffusion properties was developed, explicitly accounting for nanoscale fluctuations in concentration. This approach was demonstrated to quantitatively agree with previous methods, but is uniquely suited to be adapted to a kMC simulation that can simulate the collective-diffusion behavior. (3) While at low and moderate loadings the self- and collective-diffusion behaviors in LTA are observed to coincide, at higher concentrations they diverge. A change in the adsorbate packing scheme was shown to cause this divergence, a trait which is replicated in a kMC simulation that explicitly models this behavior. These phenomena were further investigated for isobutane in zeolite MFI, where MD results showed a separation in self- and collective-diffusion behavior that was reproduced with kMC simulations.

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