A machine-learning-enabled approach for bridging multiscale simulations of CNTs/PDMS composites

A machine-learning-enabled approach for bridging multiscale simulations of CNTs/PDMS composites

Benefitting from the interlaced networking structure of carbon nanotubes (CNTs), the composites of CNTs/polydimethylsiloxane (PDMS) have found extensive applications in wearable electronics. While hierarchical multiscale simulation frameworks exist to optimize the structure parameters, their wide ap...

Full description

Bibliographic Details
Main Authors: Yu Lingjie, Zhi Chao, Sun Zhiyuan, Guo Hao, Chen Jianglong, Dong Hanrui, Zhu Mengqiu, Wang Xiaonan
Format: Article
Language:English
Published: Science Press 2024-02-01
Series:National Science Open
Subjects:
multiscale simulation
machine learning
material property prediction
CNTs/PDMS composites
Online Access:https://www.sciengine.com/doi/10.1360/nso/20230055

Internet

https://www.sciengine.com/doi/10.1360/nso/20230055

Similar Items