4 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…
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-,…
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-…
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…