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 • 21 Feb 2022 • Wei Wayne Chen, Doksoo Lee, Oluwaseyi Balogun, Wei Chen
To address this issue, we propose a Generative Adversarial Network-based Design under Uncertainty Framework (GAN-DUF), which contains a deep generative model that simultaneously learns a compact representation of nominal (ideal) designs and the conditional distribution of fabricated designs given any nominal design.
1 code implementation • 15 Dec 2021 • Wei Wayne Chen, Doksoo Lee, Wei Chen
Deep generative models have demonstrated effectiveness in learning compact and expressive design representations that significantly improve geometric design optimization.