TopoMamba: A Load-Support Relation-Guided Multi-Directional State-Space Model for Topology Optimization

Deep learning has emerged as an efficient alternative for predicting high-performance material distributions in topology optimization. Existing methods struggle to accurately capture load-transfer information, limiting out-of-distribution generalization, while their model architectures often incur h