A multiscale polymerization framework towards network structure and fracture of double-network hydrogels
Abstract Double-network (DN) hydrogels, consisting of two contrasting and interpenetrating polymer networks, are considered as perhaps the toughest soft-wet materials. Current knowledge of DN gels from synthesis methods to toughening mechanisms almost exclusively comes from chemically-linked DN hydr...
Enregistré dans:
Auteurs principaux: | Mingzhen Zhang, Dong Zhang, Hong Chen, Yanxian Zhang, Yonglan Liu, Baiping Ren, Jie Zheng |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/128c25a9b96045ecba1ed639512b44e3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Machine learning on properties of multiscale multisource hydroxyapatite nanoparticles datasets with different morphologies and sizes
par: Ziteng Liu, et autres
Publié: (2021) -
Benchmarking graph neural networks for materials chemistry
par: Victor Fung, et autres
Publié: (2021) -
A Method of Recommending Physical Education Network Course Resources Based on Collaborative Filtering Technology
par: Zhihao Zhang
Publié: (2021) -
Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
par: Qiangqiang Ma, et autres
Publié: (2021) -
Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures
par: Teng Long, et autres
Publié: (2021)