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Related Concept Videos

Pore Size Distribution01:23

Pore Size Distribution

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In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
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NLDFT Pore Size Distribution in Amorphous Microporous Materials.

Grit Kupgan1, Thilanga P Liyana-Arachchi1, Coray M Colina1

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Nonlocal density functional theory (NLDFT) for pore size distribution (PSD) analysis can create artifacts in microporous materials. A new smooth-shift method (SSNLDFT) improves accuracy by better matching geometric PSD, reducing errors by up to 70%.

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Area of Science:

  • Materials Science
  • Physical Chemistry
  • Computational Chemistry

Background:

  • Pore size distribution (PSD) is critical for gas storage and separation materials.
  • Nonlocal density functional theory (NLDFT) is a standard indirect method for determining microscopic PSD from N2 isotherms.
  • Validating NLDFT-derived PSD for amorphous microporous materials is challenging due to potential artifacts.

Purpose of the Study:

  • To compare the accuracy of NLDFT-derived PSD against exact geometric PSD for simulated amorphous microporous materials.
  • To identify and confirm artifacts generated by the NLDFT method.
  • To propose and validate an improved method for PSD determination.

Main Methods:

  • Simulated 11 amorphous microporous materials with varying surface areas and pore volumes.
  • Generated N2 adsorption isotherms at 77 K using Gibbs ensemble Monte Carlo (GEMC) simulations.
  • Compared NLDFT-derived PSD with exact geometric PSD and analyzed the impact of the regularization parameter (λ).

Main Results:

  • Significant discrepancies were observed between NLDFT and geometric PSD, with NLDFT producing artificial peaks and gaps.
  • Dominant peaks in NLDFT-derived PSD do not always reflect the true dominant pore sizes.
  • The smooth-shift method (SSNLDFT) significantly improved PSD accuracy, reducing root-mean-square deviation by ~70% for materials with surface area > 100 m2/g.

Conclusions:

  • NLDFT analysis of PSD in amorphous microporous materials is prone to artifacts.
  • The regularization parameter (λ) strongly influences NLDFT PSD results.
  • The proposed SSNLDFT method offers a more accurate alternative for PSD determination, especially for high-surface-area materials.