no code implementations • 1 Jul 2023 • Doksoo Lee, Wei Wayne Chen, LiWei Wang, Yu-Chin Chan, Wei Chen
Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature.
no code implementations • 21 Feb 2022 • Doksoo Lee, Yu-Chin Chan, Wei Wayne Chen, LiWei Wang, Anton van Beek, Wei Chen
Distinctly, we seek a solution to a commonplace yet frequently overlooked scenario at early stages of data-driven design of metamaterials: when a massive (~O(10^4 )) shape-only library has been prepared with no properties evaluated.
1 code implementation • 1 Dec 2021 • Yu-Chin Chan, Daicong Da, LiWei Wang, Wei Chen
We propose to inherit the advantages of both through a data-driven framework for multiclass functionally graded structures that mixes several families, i. e., classes, of microstructure topologies to create spatially-varying designs with guaranteed feasibility.
no code implementations • 11 Jun 2021 • LiWei Wang, Anton van Beek, Daicong Da, Yu-Chin Chan, Ping Zhu, Wei Chen
After integrating LVGP with the density-based TO, an efficient data-driven cellular composite optimization process is developed to enable concurrent exploration of microstructure concepts and the associated volume fractions for natural frequency optimization.
no code implementations • 27 Jun 2020 • Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen
For microstructure design, the tuning of mechanical properties and complex manipulations of microstructures are easily achieved by simple vector operations in the latent space.
1 code implementation • 1 Jun 2020 • Yu-Chin Chan, Faez Ahmed, Li-Wei Wang, Wei Chen
In answer, we posit that a smaller yet diverse set of unit cells leads to scalable search and unbiased learning.