METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design. - Yu-Chin Chan; Faez Ahmed; Liwei Wang; Wei Chen 041 (CoRR, 2020)

Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems. - Liwei Wang; Yu-Chin Chan; Faez Ahmed; Zhao Liu; Ping Zhu 006; Wei Chen 041 (CoRR, 2020)

Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization. - Liwei Wang; Anton van Beek; Daicong Da; Yu-Chin Chan; Ping Zhu 006; Wei Chen 041 (CoRR, 2021)

Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending. - Yu-Chin Chan; Daicong Da; Liwei Wang; Wei Chen 041 (CoRR, 2021)

Enhancing Data-driven Multiscale Topology Optimization with Generalized De-homogenization. - Liwei Wang; Zhao Liu; Daicong Da; Yu-Chin Chan; Wei Chen 041; Ping Zhu 006 (CoRR, 2021)

T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning. - Doksoo Lee; Yu-Chin Chan; Wei Wayne Chen; Liwei Wang; Anton van Beek; Wei Chen 041 (CoRR, 2022)

Data-Driven Design for Metamaterials and Multiscale Systems: A Review. - Doksoo Lee; Wei Wayne Chen; Liwei Wang; Yu-Chin Chan; Wei Chen 041 (CoRR, 2023)