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.
1 code implementation • 15 Nov 2022 • Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen
To mitigate the bias, we develop an entropy-targeted active learning (ET-AL) framework, which guides the acquisition of new data to improve the diversity of underrepresented crystal systems.
no code implementations • 11 Jul 2022 • Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen
Data-driven design shows the promise of accelerating materials discovery but is challenging due to the prohibitive cost of searching the vast design space of chemistry, structure, and synthesis methods.
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.
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 • 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.
1 code implementation • 3 Mar 2021 • Jun Wang, Wei Wayne Chen, Daicong Da, Mark Fuge, Rahul Rai
Results show that our method can 1) generate various unit cells that satisfy given material properties with high accuracy ($R^2$-scores between target properties and properties of generated unit cells $>98\%$) and 2) improve the optimized structural performance over the conventional variable-density single-type structure.