Deep Generative Models for Geometric Design Under Uncertainty. - Wei Wayne Chen; Doksoo Lee; Wei Chen 041 (CoRR, 2021)

Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty. - Wei Wayne Chen; Doksoo Lee; Oluwaseyi Balogun; Wei Chen 041 (CoRR, 2022)

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)

Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials under Heterogeneous Fields. - Doksoo Lee; Lu Zhang; Yue Yu; Wei Chen 002 (CoRR, 2023)

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning. - Wei Wayne Chen; Rachel Sun; Doksoo Lee; Carlos M. Portela; Wei Chen 041 (CoRR, 2024)

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics. - Vispi Karkaria; Doksoo Lee; Yi-Ping Chen; Yue Yu; Wei Chen (CoRR, 2025)

Data-Driven Multiscale Topology Optimization of Spinodoid Architected Materials with Controllable Anisotropy. - Shiguang Deng; Doksoo Lee; Aaditya Chandrasekhar; Stefan Knapik; Liwei Wang; Horacio D. Espinosa; Wei Chen (CoRR, 2025)