DL4TO : A Deep Learning Library for Sample-Efficient Topology Optimization
Date Issued
2023-08-01
Abstract
We present and publish the DL4TO software library – a Python library for three-dimensional topology optimization. The framework is based on PyTorch and allows easy integration with neural networks. The library fills a critical void in the current research toolkit on the intersection of deep learning and topology optimization. We present the structure of the library’s main components and how it enabled the incorporation of physics concepts into deep learning models.
Subjects
Topology optimization
;
Deep learning
;
Software library
Publisher
Springer
Institution
Type
conference paper
Journal/Edited collection
Geometric Science of Information: 6th International Conference, GSI 2023, St. Malo, France, August 30 – September 1, 2023, Proceedings, Part I
Start page
543
End page
551
Secondary publication
Yes
Document version
Postprint
License
Alle Rechte vorbehalten
Language
English
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Erzmann et al_DL4TO_A Deep Learning Library for Sample-Efficient Topology Optimization_2023_accepted-version.pdf
Size
1.08 MB
Format
Adobe PDF
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