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In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
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Published on: September 2, 2016

Excess-entropy scaling for gas diffusivity in nanoporous materials.

Yu Liu1, Jia Fu, Jianzhong Wu

  • 1Department of Chemical and Environmental Engineering and Department of Mathematics, University of California , Riverside, California 92521, United States.

Langmuir : the ACS Journal of Surfaces and Colloids
|September 28, 2013
PubMed
Summary

This study introduces an efficient computational method to predict gas self-diffusivity in nanoporous materials. The approach combines Knudsen model, excess-entropy scaling, and classical density functional theory (DFT) for rapid and accurate results.

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Area of Science:

  • Computational chemistry
  • Materials science
  • Chemical engineering

Background:

  • Predicting gas diffusion in nanoporous materials is crucial for applications like gas storage and separation.
  • Traditional simulation methods (e.g., Molecular Dynamics) are computationally expensive and time-consuming.

Purpose of the Study:

  • To develop a computationally efficient procedure for predicting gas molecule self-diffusivity in nanoporous materials.
  • To accurately model gas adsorption and diffusion behaviors across various pressures.

Main Methods:

  • A hybrid approach combining the Knudsen model, Rosenfeld's excess-entropy scaling, and classical density functional theory (DFT).
  • Utilizing single molecular and thermodynamic parameters for calculations.
  • Calibration against Molecular Dynamics (MD) simulations for H2, He, Ne, and Ar gases.

Main Results:

  • The hybrid method accurately predicts adsorption isotherms and diffusion behaviors.
  • Excellent agreement was observed between the proposed procedure and MD simulation results.
  • The method demonstrates computational efficiency compared to traditional simulations.

Conclusions:

  • The developed computational procedure offers a rapid and efficient alternative for predicting gas self-diffusivity in nanoporous systems.
  • This method provides a valuable tool for understanding and designing materials for gas-related applications.