Insights from the persistent homology analysis of micro-CT images of porous and granular materials. — ICTMS Committee Dep of Applied Maths Australian National University
  1. Schedule
  2. Digital Volume Correlation
  3. Theme 2: Advances in Analytical Tools and Applications - Digital Volume Correlation and Topology
  4. Insights from the persistent homology analysis of micro-CT images of porous and granular materials.

Insights from the persistent homology analysis of micro-CT images of porous and granular materials. (206)

Vanessa Robins 1
  1. Research School of Physics, ANU, Canberra, ACT, Australia

The physical properties of porous and granular materials critically depend on the topological andgeometric details of the material micro-structure. This type of information is summarised by a mathematicaltool calledpersistent homology. Our work with CT images has demonstrated how persistent homology highlightsphysically-relevant length scales and provides a summary of important structural features.

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