Few-shot learning-based generative design of metamaterials with zero Poisson’s ratio

Few-shot learning-based generative design of metamaterials with zero Poisson’s ratio

Metamaterials with a zero Poisson’s ratio offer significant advantages in robotic actuation and space exploration due to their precise control of deformation. However, existing machine learning techniques cannot be directly used to accelerate the design of such materials due to the scarcity of this...

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Bibliographic Details
Main Authors: Xiangbei Liu, Huan Zhao, Ya Tang, Chaofan Chen, Yifeng Zhu, Bo Song, Yan Li
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:Materials & Design
Subjects:
Machine learning
Few-shot learning
Metamaterials
Conditional variational autoencoder (cVAE)
Out-of-distribution (OOD) data
Inverse design
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524005999

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http://www.sciencedirect.com/science/article/pii/S0264127524005999

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