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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. -
MBB Beam Dataset
The MBB beam dataset, a benchmark topology optimization problem. -
Optimized Initial Design Domain (OIDD) for Topology Optimization
The Optimized Initial Design Domain (OIDD) methodology, which significantly advances topology optimization. This novel hybrid design optimization method exploits global-search... -
Efficient topology optimization in matlab using 88 lines of code
Efficient topology optimization in matlab using 88 lines of code -
A deep Convolutional Neural Network for topology optimization with strong gen...
A deep Convolutional Neural Network for topology optimization with strong generalization ability -
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. -
SIMP Dataset
A conventional SIMP model topology optimization algorithm is used to generate dataset in MATLAB. A dataset of 3024 samples was generated using volume fraction (vol_frac),...
