A hybrid deep learning approach for the design of 2D Auxetic Metamaterials
Chonghui Zhang, Yaoyao Fiona Zhao
Computer Methods in Applied Mechanics and EngineeringOPEN ACCESS
Ph.D. researcher
Chonghui Zhang
Published · 2023–2025Investigation on applying machine learning to explore NPR (Negative Poisson’s Ratio) structure design space
Publications
11Understanding the Impact of Applying Large Language Model in Engineering Design Education
Chonghui Zhang, Yaoyao Fiona Zhao, Randy El Haddad
Journal of Computing and Information Science in Engineering
A critical review on the application of machine learning in supporting auxetic metamaterial design
Chonghui Zhang, Yaoyao Fiona Zhao
Journal of Physics MaterialsOPEN ACCESS
Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning
Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao
Journal of Computing and Information Science in Engineering
A Hybrid Deep Learning Approach for the Design of 2d Non-Parameterized Auxetic Metamaterials
Chonghui Zhang, Yaoyao Fiona Zhao
SSRN Electronic JournalOPEN ACCESS
Fairness- and uncertainty-aware data generation for data-driven design
Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao
arXiv (Cornell University)OPEN ACCESS
A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling
Jiarui Xie, Chonghui Zhang, Manuel Sage, Mutahar Safdar, Yaoyao Fiona Zhao
International Journal of Production Research
Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design
Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao
A hybrid deep learning approach for the design of 2D low porosity auxetic metamaterials
Chonghui Zhang, Jiarui Xie, Ali Shanian, Mitch Kibsey, Yaoyao Fiona Zhao
Engineering Applications of Artificial Intelligence
Differentiable Surrogate Models for Design and Trajectory Optimization of Auxetic Soft Robots
Chonghui Zhang, Audrey Sedal, Yaoyao Fiona Zhao
Variant design generation and machine learning aided deformation prediction for auxetic metamaterials
Chonghui Zhang, Arnaud Ridard, Mitch Kibsey, Yaoyao Fiona Zhao
Mechanics of Materials