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Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior
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Augmented Topological Descriptors of Pore Networks for Material Science.

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Geologic carbon sequestration can reduce atmospheric CO2. New geometric and topological methods improve permeability estimation in porous media, enhancing carbon storage safety and efficiency.

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Area of Science:

  • Earth Sciences
  • Geochemistry
  • Material Science

Background:

  • Carbon sequestration is a key strategy for mitigating atmospheric carbon dioxide levels.
  • Accurate permeability estimation in porous media is crucial for safe and efficient geologic storage.
  • Current methods often overlook geometric details in complex microstructures.

Purpose of the Study:

  • To introduce novel geometric and topological descriptors for enhanced permeability estimation.
  • To improve the analysis of porous media properties relevant to carbon sequestration and biomineralization.
  • To develop a robust framework for quantifying fluid flow in complex subsurface environments.

Main Methods:

  • Utilizing synchrotron-based X-ray computed microtomography for high-resolution imaging.
  • Applying advanced image processing, segmentation, and feature extraction techniques.
  • Implementing multiscale topological analysis to quantify pore network flow characteristics.

Main Results:

  • Demonstrated improved permeability estimation using geometric and topological features.
  • Successfully visualized pore structures and their impact on fluid flow.
  • Validated algorithms with both experimental (biomineralization) and simulated (bead beds) data.

Conclusions:

  • Geometric and topological descriptors significantly enhance permeability estimation in porous media.
  • The developed framework offers a more accurate assessment of subsurface flow for carbon sequestration.
  • This research contributes to safer and more efficient geologic storage solutions.