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  Topology Optimization via Frequency Tuning of Neural Design Representations

Doosti, N., Panetta, J., & Babaei, V. (2021). Topology Optimization via Frequency Tuning of Neural Design Representations. In E. Whiting, J. Hart, C. Sung, J. McCann, & N. Peek (Eds.), Proceedings SCF 2021 (pp. 1-9). New York, NY: ACM. doi:10.1145/3485114.3485124.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-C159-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-C15A-5
Genre: Conference Paper

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 Creators:
Doosti, Nikan1, Author           
Panetta, Julian2, Author
Babaei, Vahid1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Doosti21
DOI: 10.1145/3485114.3485124
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Title: ACM Symposium on Computational Fabrication
Place of Event: Virtual Event
Start-/End Date: 2021-10-28 - 2021-10-29

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Title: Proceedings SCF 2021
  Abbreviation : SCF 2021
Source Genre: Proceedings
 Creator(s):
Whiting, Emily1, Editor
Hart, John1, Editor
Sung, Cynthia1, Editor
McCann, James1, Editor
Peek, Nadya1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: 1 Start / End Page: 1 - 9 Identifier: ISBN: 978-1-4503-9090-3