Publications of Dr. David Erzmann
Articles (2)
- D. Erzmann, S. Dittmer.
 Equivariant Neural Operators for gradient-Consistent Topology Optimization .
 Journal of Computational Design and Engineering, 11(3):91-100, 2024.DOI: 10.1093/jcde/qwae039 
- D. Erzmann, S. Dittmer, H. Harms, P. Maaß.
 DL4TO: A Deep Learning Library for Sample-Efficient Topology Optimization.
 Lecture Notes in Computer Science, Geometric Science of Information. GSI 2023 14071, Springer Verlag, 2023.
Preprints (1)
- S. Dittmer, D. Erzmann, H. Harms, P. Maaß.
 SELTO: Sample-Efficient Learned Topology Optimization.
 Zur Veröffentlichung eingereicht.online at: https://arxiv.org/abs/2209.05098 
PhD/Habilitation Thesis (1)
- D. Erzmann.
 Equivariant deep learning for 3D topology optimization.
 Dissertationsschrift, Universität Bremen, 2024.DOI: 10.26092/elib/3439 

