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GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses
Inverse design problems are pervasive in engineering, particularly when dealing with nonlinear system responses, such as in mechanical …
Haoxuan Mu
,
Mingjian Tang
,
Wei Gao
,
Wei (Wayne) Chen
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GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
This paper introduces GUST (Generative Uncertainty learning via Self-supervised pretraining and Transfer learning), a framework for …
Jiahui (Cal) Zheng
,
Cole Jahnke
,
Wei (Wayne) Chen
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