Record link: 
http://hdl.handle.net/20.500.12708/229778
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Title: 
Shape Optimization Using a Neural Implicit Geometry Representation Framework
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Citation: 
Freinberger, L., Kofler, M., & Elgeti, S. (2026, July 23). Shape Optimization Using a Neural Implicit Geometry Representation Framework [Conference Presentation]. 17th World Congress on Computational Mechanics & 10th European Congress on Computational Methods in Applied Sciences and Engineering (WCCM-ECCOMAS 2026), Munich, Germany.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Freinberger, Lukas 
Kofler, Michael 
Elgeti, Stefanie 
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Organisational Unit: 
E317-01-1 - Forschungsgruppe Numerische Analyse- und Designmethoden 
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Date (published): 
23-Jul-2026
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Event name: 
17th World Congress on Computational Mechanics & 10th European Congress on Computational Methods in Applied Sciences and Engineering (WCCM-ECCOMAS 2026) 
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Event date: 
19-Jul-2026 - 24-Jul-2026
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Event place: 
Munich, Germany
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Keywords: 
Geometry Parameterization; Shape Optimization; Machine Learning
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Research Areas: 
Computational Fluid Dynamics: 25%
Computer Science Foundations: 25%
Modeling and Simulation: 50%
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Science Branch: 
2030 - Maschinenbau: 40%
1020 - Informatik: 30%
2119 - Sonstige Technische Wissenschaften: 30%
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Appears in Collections:
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