KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators
cs.CE, cs.AI, cs.LG, cs.NA, math.NA
Submitted: 2026-09-23
Updated: 2026-09-23
Code: https://github.com/ysyysy115/KATOsuper
Terminology
Sources
- Neural reparameterization improves structural optimization
- Convolutional Kolmogorov-Arnold Networks
- KAN: Kolmogorov-Arnold Networks
- Fourier Neural Operator for Parametric Partial Differential Equations
- Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
- Gradient-free neural topology optimization: Towards effective fracture-resistant designs
- Adam: A Method for Stochastic Optimization
- Decoupled Weight Decay Regularization
- Gaussian Error Linear Units (GELUs)
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