<div class="csl-bib-body">
<div class="csl-entry">Schwaighofer, M., Königsberger, M., Pech, S., Lukacevic, M., & Füssl, J. (2025). Deep Eshelby Network: An AI Framework for Multiscale Mean-Field Homogenization with Arbitrary Inclusion Shapes. In <i>95th Annual Meeting of the Association of Applied Mathematics and Mechanics : Book of Abstracts</i> (pp. 206–207).</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/221939
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dc.language.iso
en
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dc.subject
Eigenstrain concentration
en
dc.subject
Arbitrary inclosion Shapes
en
dc.title
Deep Eshelby Network: An AI Framework for Multiscale Mean-Field Homogenization with Arbitrary Inclusion Shapes
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
978-83-7775-791-8
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dc.description.startpage
206
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dc.description.endpage
207
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dc.type.category
Abstract Book Contribution
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tuw.booktitle
95th Annual Meeting of the Association of Applied Mathematics and Mechanics : Book of Abstracts
-
tuw.researchTopic.id
C1
-
tuw.researchTopic.name
Computational Materials Science
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E202-02 - Forschungsbereich Struktursimulation und Ingenieurholzbau
-
tuw.publication.orgunit
E057-16 - Fachbereich Center for Geometry and Computational Design
