Record link: 
http://hdl.handle.net/20.500.12708/139933
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Title: 
Linking Early Design Stages with Physical Simulations using Machine Learning
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Citation: 
Rasoulzadeh, S., Senk, V., Kovacic, I., Reisinger, J., Füssl, J., & Hensel, M. (2022). Linking Early Design Stages with Physical Simulations using Machine Learning. In Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering (pp. 216–226). https://doi.org/10.7146/aul.455.c212
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Publisher DOI: 
10.7146/aul.455.c212
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Rasoulzadeh, S. 
Senk, V. 
Kovacic, I. 
Reisinger, J. 
Füssl, J. 
Hensel, M. 
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Organisational Unit: 
E056-02 - Fachbereich Computational Design (DC:CD) 
E210-01 - Forschungsbereich Integrale Planung und Industriebau 
E202-02 - Forschungsbereich Struktursimulation und Ingenieurholzbau 
E259-01 - Forschungsbereich Digitale Architektur und Raumplanung 
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Published in: 
Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering 
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Date (published): 
20-Jun-2022
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Event name: 
29th International Workshop on Intelligent Computing in Engineering (EG-ICE) 
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Event date: 
6-Jul-2022 - 8-Jul-2022
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Event place: 
Denmark
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Number of Pages: 
11
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Peer reviewed: 
Yes
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Keywords: 
Architectural Design; Sketching; Shape Inference; Finite Element Analysis
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Project title: 
Advanced Computational Design: F77 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
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Link (external): 
https://conferences.au.dk/eg-ice/scientific-program
https://ebooks.au.dk/aul/catalog/book/455
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Research Areas: 
Development and Advancement of the Architectural Arts: 25%
Visual Computing and Human-Centered Technology: 50%
Modeling and Simulation: 25%
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Science Branch: 
2011 - Bauingenieurwesen: 25%
2012 - Architektur: 25%
1020 - Informatik: 50%
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Appears in Collections:
Conference Paper

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