Comparative grain topology

Trevor Keller, Barbara Cutler, Emanuel A. Lazar, Gregory Yauney, Daniel J. Lewis

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Space-filling polyhedral networks are commonly studied in biological, physical, and mathematical disciplines. The constraints governing the construction of each network varies considerably under each context, affecting the topological properties of the constituents. A method for mapping the topological symmetry of a space-filling population of polyhedra is presented, relative to all possible polyhedra. This method is applied to the topological comparison of populations generated by seven different processes: (i) natural grain growth in polycrystalline metal, ideal grain growth simulated by (ii) interface-tracking and (iii) phase-field methods, (iv) Poisson-Voronoi and (v) ellipsoid tessellations, and (vi) graph-theoretic and (vii) Monte Carlo enumerations of individual polyhedra. Evidence for topological bias in these populations is discussed.

Original languageEnglish
Pages (from-to)414-423
Number of pages10
JournalActa Materialia
StatePublished - Mar 2014
Externally publishedYes

Bibliographical note

Funding Information:
This work is supported by the NSF under Grant # 1056704 through the Metals and Metallic Nanostructures Program of the Division of Materials Research. The authors wish to thank David J. Rowenhorst (Naval Research Laboratory, Washington, DC) for access to the full -Ti dataset, and Martin E. Glicksman (Department of Mechanical and Aerospace Engineering, Florida Institute of Technology, Melbourne, FL) for technical discussions on polyhedra and topology.


  • Computer simulation
  • Grain growth
  • Microstructure
  • Phase-field method
  • Topology


Dive into the research topics of 'Comparative grain topology'. Together they form a unique fingerprint.

Cite this