Equivariant deep learning for 3D topology optimization

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Bremen, Universität Bremen, Dissertation, 2024

Keyword: Neuronales Netz
Finite-Elemente-Methode
Partielle Differentialgleichung
Maschinelles Lernen
Numerisches Verfahren

Event: Veröffentlichung

(where): Bremen

(who): Staats- und Universitätsbibliothek Bremen

(when): 2024

Creator: Erzmann, David

Contributor: Maaß, Peter
Rademacher, Andreas
Blum, Heribert

DOI: 10.26092/elib/3439

URN: urn:nbn:de:gbv:46-elib84054

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 2025-08-15T07:35:51+0200

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Associated

Erzmann, David
Maaß, Peter
Rademacher, Andreas
Blum, Heribert
Staats- und Universitätsbibliothek Bremen

Time of origin

2024

Other Objects (12)

Hochschulschrift

Equivariant topology methods in discrete geometry

Geometric deep learning and equivariant neural networks

Structural topology optimization of 3D‐printable microlattices for lightweight materials

Topology Optimization Methods for 3D Structural Problems: A Comparative Study

Fail-safe topology optimization

Adaptive thermodynamic topology optimization

Topology optimization with supershapes

Topology optimization for 3D fluid diode design considering wall-connected structures

Topology optimization of periodic 3D heat transfer problems with 2D design

Sequentially coupled shape and topology optimization for 2.5D and 3D beam models

Topology optimization for the design of a 3D-printed rotating shaft balance

Hochschulschrift

Equivariant topology methods in discrete geometry

Geometric deep learning and equivariant neural networks

Structural topology optimization of 3D‐printable microlattices for lightweight materials

Topology Optimization Methods for 3D Structural Problems: A Comparative Study

Fail-safe topology optimization

Adaptive thermodynamic topology optimization

Topology optimization with supershapes

Topology optimization for 3D fluid diode design considering wall-connected structures

Topology optimization of periodic 3D heat transfer problems with 2D design

Sequentially coupled shape and topology optimization for 2.5D and 3D beam models

Topology optimization for the design of a 3D-printed rotating shaft balance

Hochschulschrift

Equivariant topology methods in discrete geometry

Geometric deep learning and equivariant neural networks

Structural topology optimization of 3D‐printable microlattices for lightweight materials

Topology Optimization Methods for 3D Structural Problems: A Comparative Study

Fail-safe topology optimization

Adaptive thermodynamic topology optimization

Topology optimization with supershapes

Topology optimization for 3D fluid diode design considering wall-connected structures

Topology optimization of periodic 3D heat transfer problems with 2D design

Sequentially coupled shape and topology optimization for 2.5D and 3D beam models

Topology optimization for the design of a 3D-printed rotating shaft balance

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Equivariant deep learning for 3D topology optimization

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Other Objects (12)

Equivariant topology methods in discrete geometry

Geometric deep learning and equivariant neural networks

Structural topology optimization of 3D‐printable microlattices for lightweight materials

Topology Optimization Methods for 3D Structural Problems: A Comparative Study

Fail-safe topology optimization

Adaptive thermodynamic topology optimization

Adaptive thermodynamic topology optimization

Topology optimization with supershapes

Topology optimization for 3D fluid diode design considering wall-connected structures

Topology optimization of periodic 3D heat transfer problems with 2D design

Sequentially coupled shape and topology optimization for 2.5D and 3D beam models

Topology optimization for the design of a 3D-printed rotating shaft balance

Equivariant topology methods in discrete geometry

Geometric deep learning and equivariant neural networks

Structural topology optimization of 3D‐printable microlattices for lightweight materials

Topology Optimization Methods for 3D Structural Problems: A Comparative Study

Fail-safe topology optimization

Adaptive thermodynamic topology optimization

Adaptive thermodynamic topology optimization

Topology optimization with supershapes

Topology optimization for 3D fluid diode design considering wall-connected structures

Topology optimization of periodic 3D heat transfer problems with 2D design

Sequentially coupled shape and topology optimization for 2.5D and 3D beam models

Topology optimization for the design of a 3D-printed rotating shaft balance

Equivariant topology methods in discrete geometry

Geometric deep learning and equivariant neural networks

Structural topology optimization of 3D‐printable microlattices for lightweight materials

Topology Optimization Methods for 3D Structural Problems: A Comparative Study

Fail-safe topology optimization

Adaptive thermodynamic topology optimization

Adaptive thermodynamic topology optimization

Topology optimization with supershapes

Topology optimization for 3D fluid diode design considering wall-connected structures

Topology optimization of periodic 3D heat transfer problems with 2D design

Sequentially coupled shape and topology optimization for 2.5D and 3D beam models

Topology optimization for the design of a 3D-printed rotating shaft balance

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