229 citations · 301 across the 9 of their papers we have counts for
9 papers
RAG: A Random-Forest-Based Generative Design Framework for Uncertainty-Aware Design of Metamaterials with Complex Functional Response Requirements
Bolin Chen, Dex Doksoo Lee, Wei "Wayne'' Chen +1
Metamaterials design for advanced functionality often entails the inverse design on nonlinear and condition-dependent responses (e.g., stress-strain relation and dispersion relatio…
An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
Vispi Karkaria, Doksoo Lee, Yi-Ping Chen +2
In scientific machine learning (SciML), a key challenge is learning unknown, evolving physical processes and making predictions across spatio-temporal scales. For example, in real-…
Data-Driven Topology Optimization for Multiscale Biomimetic Spinodal Design
Shiguang Deng, Doksoo Lee, Aaditya Chandrasekhar +4
Spinodoid architected materials have drawn significant attention due to their unique nature in stochasticity, aperiodicity, and bi-continuity. Compared to classic periodic truss-,…
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
Wei "Wayne" Chen, Rachel Sun, Doksoo Lee +2
Metamaterials with functional responses can exhibit varying properties under different conditions (e.g., wave-based responses or deformation-induced property variation). This work…
Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials under Heterogeneous Fields
Doksoo Lee, Lu Zhang, Yue Yu +1
Multifunctional metamaterials (MMM) bear promise as next-generation material platforms supporting miniaturization and customization. Despite many proof-of-concept demonstrations an…
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Doksoo Lee, Wei Wayne Chen, Liwei Wang +2
Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature. Composed of unit cells with rich designability that a…
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
Doksoo Lee, Yu-Chin Chan, Wei Wayne Chen +3
Inspired by the recent achievements of machine learning in diverse domains, data-driven metamaterials design has emerged as a compelling paradigm that can unlock the potential of m…
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty
Wei Wayne Chen, Doksoo Lee, Oluwaseyi Balogun +1
Deep generative models have demonstrated effectiveness in learning compact and expressive design representations that significantly improve geometric design optimization. However,…
Deep Generative Models for Geometric Design Under Uncertainty
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. However,…