Airvox: efficient computational fluid dynamics prediction using 3D convolutional neural networks for building design
Auteur(s): |
Jung Min Han
(Department of Architecture and Architectural Engineering, Yonsei University, Seoul, Republic of Korea)
Ali Malkawi (Department of Architecture, Graduate School of Design, Harvard University, Cambridge, MA, USA) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Journal of Building Performance Simulation |
Page(s): | 1-16 |
DOI: | 10.1080/19401493.2024.2410744 |
- Informations
sur cette fiche - Reference-ID
10806014 - Publié(e) le:
10.11.2024 - Modifié(e) le:
10.11.2024