20 citations · 35 across the 8 of their papers we have counts for
7 papers
Steering topology distributions for unified generative design of architected metamaterials
Haolin Li, Yuyang Miao, Menglei Li +9
Architected metamaterials derive their functions from structure, creating vast opportunities to program physical responses through topology design. However, existing design methods…
Scalable Active Metamaterials for Shape-Morphing
Jipeng Cui, Wei "Wayne" Chen
Shape-morphing materials allow structures such as morphing wings, soft robots, and deployable devices to change their shape on demand without mechanical joints or motors. Aperiodic…
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…
Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design
Shahroz Khan, Zahid Masood, Muhammad Usama +4
In this work, we propose a set of physics-informed geometric operators (GOs) to enrich the geometric data provided for training surrogate/discriminative models, dimension reduction…
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…