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KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators.

arXiv:2609.27216v1 Announce Type: cross Abstract: Topology optimization (TO) remains computationally intensive due to repeated finite element analysis (FEA) evaluations required at each iteration. While neural network-based surrogates offer potential accelerat

arXiv cs.AIResearch source·