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Elucidating CO2 dynamics in high-entropy MOF-74 via machine learning interatomic potentials.

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High entropy metal-organic frameworks (MOFs) show CO2 adsorption benefits. Molecular dynamics simulations reveal that CO2 diffusion in mixed-metal MOF-74 follows a simple rule-of-mixtures, indicating no intrinsic transport enhancement from metal mixing alone.

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Computational Chemistry

Background:

  • High entropy variants of MOF-74 exhibit enhanced CO2 adsorption.
  • The intrinsic contribution of homogenous metal mixing to CO2 transport in MOFs is not well understood.

Purpose of the Study:

  • To investigate CO2 diffusion in single-metal and mixed-metal MOF-74 frameworks.
  • To determine if homogenous metal mixing alone enhances CO2 transport properties.

Main Methods:

  • Development of a transferable machine-learned interatomic potential.
  • Large-scale molecular dynamics simulations of CO2 diffusion in MOF-74 with various metal compositions (Mg, Co, Cu, Ni, Zn).
  • Analysis of temperature-dependent diffusion from 300 K to 500 K.

Main Results:

  • Single-metal MOF-74 axial diffusivities at 300 K range from 0.322 to 1.211 × 10^-8 m^2 s^-1 (Mg slowest, Cu fastest).
  • A near-equimolar high-entropy MOF-74 framework showed CO2 diffusivity (Dz = 0.899 × 10^-8 m^2 s^-1) predictable by a composition-weighted rule-of-mixtures.
  • This rule-of-mixtures accurately predicted diffusion for other mixed-metal compositions and across the simulated temperature range.

Conclusions:

  • Homogenous metal mixing in MOF-74 does not intrinsically enhance CO2 transport beyond the behavior of single-metal parents.
  • A simple, predictive rule-of-mixtures accurately describes CO2 diffusivity in homogeneous mixed-metal MOF-74.
  • Establishes a baseline for transport in complex MOFs and aids in evaluating experimental factors influencing diffusion.