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Resource typeJournal Article
Title(s)On the relevance of descriptor fidelity in microstructure reconstruction
CreatorSeibert, Paul  0000-0002-8774-8462 (TU Dresden  042aqky30)
Raßloff, Alexander  0000-0002-9134-4874 (TU Dresden  042aqky30)
Kalina, Karl A.  0000-0001-6170-4069 (TU Dresden  042aqky30)
Safi, Ali Reza  0000-0003-4467-6734 (Helmholtz-Zentrum Hereon  03qjp1d79)
Reck, Paul  0009-0004-0887-1932 (Universität Augsburg  03p14d497)
Peterseim, Daniel  0000-0001-7213-556X (Universität Augsburg  03p14d497)
Klusemann, Benjamin  0000-0002-8516-5087  142865192 (Institut für Produktionstechnik und -systeme (IPTS), Leuphana Universität Lüneburg  02w2y2t16)
Kästner, Markus  0000-0003-3358-1545 (TU Dresden  042aqky30)
AbstractA common strategy for reducing the computational effort of descriptor-based microstructure reconstruction in the Yeong–Torquato algorithm lies in restricting the choice of descriptors to an efficiently computable subset. As an alternative, the number of iterations can be reduced by gradient-based optimization as in differentiable microstructure characterization and reconstruction (DMCR). This allows for, but does not require, the use of a set of informative, high-dimensional and computationally expensive descriptors that would be unfeasible for a high number of iterations. For this reason, the present work investigates the role of descriptor fidelity on microstructure reconstruction results. More precisely, spatial two- and three-point correlations as well as the lineal path function are computed on 2D planes as well as on 1D lines. These descriptors are used for reconstruction with the Yeong–Torquato and DMCR algorithm and the results are compared throughout various microstructures, respectively.
Year of publication in PubData2024
Publishing typeParallel publication
Publication versionPublished version
Date issued2023-09-15
Creation contextResearch
Published byMedien- und Informationszentrum, Leuphana Universität Lüneburg
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Resource typeJournal
Title of the resource typeProceedings in Applied Mathematics and Mechanics
IdentifierDOI: 10.1002/pamm.202300116
Publication year2023
Number typeArticle
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