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Topology optimization places material so that a structure resists deformation under given loads. Machine-learning methods often report large speed-ups over classical, non-learned optimization, but a slow classical code or a less stiff learned design can exaggerate them. We re-ran released code for eight methods on one...
Early thermal-mechanical lattice requirements are knowledge-intensive and often jointly unsatisfiable: an engineer asks for a cell that is light, stiff, laterally conducting and cheap, and no cell in the library satisfies it. A design system should say so, and say which requirement to loosen and by how much, rather tha...
Style-IH-GAN is presented, a style-modulated generative adversarial network for triply periodic minimal surface (TPMS)-based cellular materials and achieves higher shape-parameter diversity and 19% lower surrogate Young’s modulus error.
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