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cs.LG2024★ 18 cited
Neural Networks for Generating Better Local Optima in Topology Optimization
Leon Herrmann, Ole Sigmund, Viola Muning Li +2
Neural networks have recently been employed as material discretizations within adjoint optimization frameworks for inverse problems and topology optimization. While advantageous re…
cs.MS2024
An 808 Line Phasor-Based Dehomogenisation Matlab Code For Multi-Scale Topology Optimisation
Rebekka Varum Woldseth, Ole Sigmund, Peter Dørffler Ladegaard Jensen
This work presents an 808-line Matlab educational code for combined multi-scale topology optimisation and phasor-based dehomogenisation titled deHomTop808. The multi-scale formulat…