Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling
Auteur(s): |
Mehdi Taghizadeh
(Department of Civil and Environmental Engineering University of Virginia Virginia USA)
Mohammad Amin Nabian (NVIDIA Santa Clara California USA) Negin Alemazkoor (Department of Civil and Environmental Engineering University of Virginia Virginia USA) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Computer-Aided Civil and Infrastructure Engineering |
DOI: | 10.1111/mice.13312 |
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sur cette fiche - Reference-ID
10791670 - Publié(e) le:
01.09.2024 - Modifié(e) le:
01.09.2024