Doksoo Lee

According to our database, Doksoo Lee authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

RAG: A Random-Forest-Based Generative Design Framework for Uncertainty-Aware Design of Metamaterials with Complex Functional Response Requirements.

Bolin Chen, Doksoo Lee, Wei "Wayne'' Chen, Wei Chen

CoRR, January, 2026

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, June, 2025

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics.

Vispi Karkaria, Doksoo Lee, Yi-Ping Chen, Yue Yu, Wei Chen

CoRR, June, 2025

An attention-based spatio-temporal neural operator for evolving physics.

Vispi Karkaria, Doksoo Lee, Yi-Ping Chen, Yue Yu, Wei Chen

Mach. Learn. Sci. Technol., 2025

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning.

Wei Wayne Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen

Adv. Intell. Syst., 2025

2023

Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials under Heterogeneous Fields.

Doksoo Lee, Lu Zhang, Yue Yu, Wei Chen

CoRR, 2023

Data-Driven Design for Metamaterials and Multiscale Systems: A Review.

Doksoo Lee, Wei Wayne Chen, Liwei Wang, Yu-Chin Chan, Wei Chen

CoRR, 2023

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

CoRR, 2022

Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty.

Wei Wayne Chen, Doksoo Lee, Oluwaseyi Balogun, Wei Chen

CoRR, 2022

2021

Deep Generative Models for Geometric Design Under Uncertainty.

Wei Wayne Chen, Doksoo Lee, Wei Chen

CoRR, 2021