GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics
dc.contributor.author | Jivani, Devyani | |
dc.contributor.author | Zola, Jaroslaw | |
dc.contributor.author | Ganapathysubramanian, Baskar | |
dc.contributor.author | Wodo, Olga | |
dc.contributor.department | Mechanical Engineering | |
dc.contributor.department | Electrical and Computer Engineering | |
dc.contributor.other | Plant Sciences Institute | |
dc.date.accessioned | 2022-02-07T21:16:38Z | |
dc.date.available | 2022-02-07T21:16:38Z | |
dc.date.issued | 2022-01 | |
dc.description.abstract | 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. | |
dc.description.comments | This article is published asJivani, Devyani, Jaroslaw Zola, Baskar Ganapathysubramanian, and Olga Wodo. "GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics." SoftwareX 17 (2022): 100969. DOI: 10.1016/j.softx.2021.100969. Copyright 2021 The Author(s).Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Posted with permission. | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/EzR2BL2z | |
dc.language.iso | en_US | |
dc.publisher | Elsevier B.V. | |
dc.source.uri | https://doi.org/10.1016/j.softx.2021.100969 | * |
dc.subject.disciplines | DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences | |
dc.subject.disciplines | DegreeDisciplines::Engineering::Mechanical Engineering | |
dc.subject.disciplines | DegreeDisciplines::Life Sciences::Plant Sciences | |
dc.subject.keywords | Graph theory | |
dc.subject.keywords | Materials informatics | |
dc.subject.keywords | Microstructure descriptors | |
dc.subject.keywords | Organic photovoltaics | |
dc.title | GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics | |
dc.type | Article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | da41682a-ff6f-466a-b99c-703b9d7a78ef | |
relation.isOrgUnitOfPublication | 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59 | |
relation.isOrgUnitOfPublication | a75a044c-d11e-44cd-af4f-dab1d83339ff |
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