Deep learning-enabled generative acceleration for topology-optimized structures in 2D and 3D domain
Abstract Latest research explored into how Deep Learning (DL) can be used to accelerate topology optimization while reducing processing costs. Topology optimization, relying on finite element analysis (FEA) and iterative solvers, typically incurs substantial computational overheads, especially in ev...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-01-01
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| Col·lecció: | Discover Artificial Intelligence |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s44163-026-00835-x |
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