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One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Le...
The proposed learning mechanism uses a compliance minimization problem as a running example to learn a one-shot solution generator for topology optimization. -
Optimized Topologies and Intermediate Optimization Steps
A dataset of optimized topologies and intermediate optimization steps at low-resolution (64x64) and high-resolution (256x256) for topology optimization. -
Optimized Topologies for Topology Optimization
A dataset of optimized topologies gathered using SIMP for topology optimization, containing information about optimal performance.
