SoftwareX (Jan 2022)

GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics

  • Devyani Jivani,
  • Jaroslaw Zola,
  • Baskar Ganapathysubramanian,
  • Olga Wodo

Journal volume & issue
Vol. 17
p. 100969

Abstract

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We describe GraSPI - extensible graph-based software implemented as a C/C++ package. GraSPI computes a large set of descriptors relevant to organic electronics given a segmented 2D or 3D microstructure. The package represents a microstructure as an equivalent graph and harnesses algorithms from graph theory to compute those descriptors efficiently. It also includes a suite of tools for converting data between various formats and post-processing the raw results from the graph analysis. Herein, we provide illustrative examples of GraSPI’s capabilities in extracting microstructure descriptors and demonstrate the advantages that a graph-based approach affords via computational complexity analysis.

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