- Titel
- On the relevance of descriptor fidelity in microstructure reconstruction
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-953790
- Quellenangabe
- Proceedings in applied mathematics and mechanics
Erscheinungsjahr: 2023
Jahrgang: 23
Heft: 3
E-ISSN: 1617-7061
Artikelnummer: e202300116 - Erstveröffentlichung
- 2023
- Abstract (EN)
- A 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.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der Zeitschrift „Proceedings in applied mathematics and mechanics” im Verlag Wiley-VCH erschienen ist.
DOI: 10.1002/pamm.202300116 - Freie Schlagwörter (EN)
- descriptor fidelity, microstructure reconstruction, Yeong–Torquato algorithm, DMCR algorithm
- Klassifikation (DDC)
- 510
- Verlag
- Wiley-VCH, Weinheim
- Förder- / Projektangaben
- European Commission (EC)
H2020 | ERC | ERC-COG
Modelling Assisted Solid State Materials Development and Additive Manufacturing
(MA.D.AM)
ID: 101001567 - Deutsche Forschungsgemeinschaft (DFG)
ID: KA 3309/18-1 - Deutsche Forschungsgemeinschaft (DFG)
ID: PE 2143/7-1 - Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-953790
- Veröffentlichungsdatum Qucosa
- 16.05.2025
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0