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...

Celý popis

Podrobná bibliografie
Hlavní autoři: Xiangbei Liu, Huan Zhao, Ya Tang, Chaofan Chen, Yifeng Zhu, Bo Song, Yan Li
Médium: Článek
Jazyk:English
Vydáno: Elsevier 2024-08-01
Edice:Materials & Design
Témata:
Machine learning
Few-shot learning
Metamaterials
Conditional variational autoencoder (cVAE)
Out-of-distribution (OOD) data
Inverse design
On-line přístup:http://www.sciencedirect.com/science/article/pii/S0264127524005999

Internet

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

Podobné jednotky