Facile Preparation of a 3D Porous Aligned Graphene-Based Wall Network Architecture by Confined Self-Assembly with Shape Memory for Artificial Muscle, Pressure Sensor, and Flexible Supercapacitor-Reference-Cited by-同舟云学术

Facile Preparation of a 3D Porous Aligned Graphene-Based Wall Network Architecture by Confined Self-Assembly with Shape Memory for Artificial Muscle, Pressure Sensor, and Flexible Supercapacitor

Published:2022-04-07 Issue:15 Volume:14 Page:17739-17753
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Peng Zhiyuan¹^ORCID,Yu Chuying¹^ORCID,Zhong Wenbin¹^ORCID

Affiliation:

1. College of Materials Science and Engineering, Hunan University, Changsha 410082, P.R. China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.2c00987

Reference89 articles.

1. Artificial Muscles: Mechanisms, Applications, and Challenges

2. Recent Progress in Artificial Muscles for Interactive Soft Robotics

3. Controllable Stiffness Origami “Skeletons” for Lightweight and Multifunctional Artificial Muscles

4. A Multiresponsive Anisotropic Hydrogel with Macroscopic 3D Complex Deformations

5. Collectively Exhaustive Electrodes Based on Covalent Organic Framework and Antagonistic Co‐Doping for Electroactive Ionic Artificial Muscles

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