4 papers
Scalable Active Metamaterials for Shape-Morphing
Jipeng Cui, Wei "Wayne" Chen
Shape-morphing metamaterials enable adaptive structures capable of complex functional deformations, with applications ranging from reconfigurable structures and soft robotics to me…
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…
GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
Jiahui Zheng, Cole Jahnke, Wei "Wayne" Chen
This paper introduces GUST (Generative Uncertainty learning via Self-supervised pretraining and Transfer learning), a framework for quantifying free-form geometric uncertainties in…
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…