Design of materials using topology optimization and energy-based homogenization approach in Matlab

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Multiscale isogeometric topology optimization for lattice materials (2017, methodology): “Gradient based schemes for topology optimization (TO), such as the solid isotropic material with penalization (SIMP) [18, 19], evolutionary methods for structural optimization (ESO) [20, 21], as well as more recent strategies, such as the level set [22, 23], have been extended to optimize the intern”
Compatibility in microstructural optimization for additive manufacturing (2019, methodology): “A recent survey on hierarchical optimization of material and structure is given by Xia and Breitkopf [21].”
Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design (2019, methodology): “Then, we use the solid isotropic material with penalization TO method [59] to ﬁ nd the orthotropic unit cells corresponding to each target.”