Journal ArticleParallel publicationPublished version DOI: 10.48548/pubdata-138

On the relevance of descriptor fidelity in microstructure reconstruction

Chronological data

Date of first publication2023-09-15
Date of publication in PubData 2024-01-23

Language of the resource

English

Related external resources

Variant form of DOI: 10.1002/pamm.202300116
Seibert, P., Raßloff, A., Kalina, K., Safi, A., Reck, P., Peterseim, D., Klusemann, B., Kästner, M. (2023). On the relevance of descriptor fidelity in microstructure reconstruction. Proceedings in Applied Mathematics and Mechanics, 23, e202300116.
Published in ISSN: 1617-7061
Proceedings in Applied Mathematics and Mechanics : PAMM

Related PubData resources

Abstract

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.

Research project

Supported / Financed by

European Research Council

More information

DDC

620 :: Ingenieurwissenschaften und zugeordnete Tätigkeiten

Creation Context

Research