Preparation of Ionic Polymer–Metal Composites Using Copper Electrodes via Magnetron Sputtering DOI Creative Commons
Hui Li, Zhifeng Wang, Jinping Li

и другие.

Actuators, Год журнала: 2024, Номер 13(12), С. 503 - 503

Опубликована: Дек. 7, 2024

The effective treatment of the surface electrode is core technology an ionic polymer–metal composite (IPMC), and its preparation significantly affects driving performance IPMC. Copper, which inexpensive has excellent electrical conductivity, was selected as material, copper IPMCs (Cu-IPMCs) were prepared via magnetron sputtering. Orthogonal experiments performed to optimize parameters process. indices deformation angle resistance used, sample electrodes’ morphology elemental content analyzed. results showed that sputtering pressure major factor affecting two indices. Cu-IPMC, at a 0.9 Pa, time 35 min, argon flow rate 30 sccm, power 150 W, had more minor larger under continuous direct current boosting. It required 1.2 h, than 10 times shorter chemically plated counterpart. exhibited in 2–3 Ω/cm range, 23 smaller platinum.

Язык: Английский

Machine learning applications in nanomaterials: Recent advances and future perspectives DOI
Liang Yang, Hong Wang,

Deying Leng

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер unknown, С. 156687 - 156687

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

22

High-performance electrically responsive artificial muscle materials for soft robot actuation DOI
Liang Yang, Hong Wang

Acta Biomaterialia, Год журнала: 2024, Номер 185, С. 24 - 40

Опубликована: Июль 23, 2024

Язык: Английский

Процитировано

16

Self-healing cellulose-based hydrogels: From molecular design to multifarious applications DOI
Liang Yang, Hong Wang,

Yanning Yang

и другие.

Carbohydrate Polymers, Год журнала: 2024, Номер 347, С. 122738 - 122738

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

16

Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications DOI
Hong Wang,

Hengyu Cao,

Liang Yang

и другие.

ACS Applied Nano Materials, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

Machine learning (ML), as an advanced data analysis tool, simulates the process of human brain, enabling extraction features, discovery patterns, and making accurate predictions or decisions from complex data. In field nanomaterial design, application ML technology not only accelerates performance optimization nanomaterials but also promotes innovation materials science research methods. Bibliometrics, a method based on quantitative analysis, provides us with macro perspective to observe understand in design by statistically analyzing various indicators scientific literature. This paper quantitatively analyzes literature related ML-driven seven dimensions, revealing importance necessity design. It systematically diversified applications combination suitable algorithms being key enhancing nanomaterials. addition, this discusses current challenges future development directions, including quality set construction, algorithm optimization, deepening interdisciplinary cooperation. review researchers state trends ideas suggestions for research. is significant value promoting progress fostering in-depth research, accelerating innovative material technologies.

Язык: Английский

Процитировано

13

A review of sodium alginate-based hydrogels: Structure, mechanisms, applications, and perspectives DOI
Hong Wang, Liang Yang, Yanning Yang

и другие.

International Journal of Biological Macromolecules, Год журнала: 2024, Номер unknown, С. 139151 - 139151

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

9

Multifunctional natural starch-based hydrogels: Critical characteristics, formation mechanisms, various applications, future perspectives DOI
Hong Wang, Liang Yang,

Yanning Yang

и другие.

Carbohydrate Polymers, Год журнала: 2025, Номер 357, С. 123458 - 123458

Опубликована: Март 2, 2025

Язык: Английский

Процитировано

1

High Content Ionic Liquid Microdroplet-Filled Elastomers with Dielectric Stability for Epidermal Electronics DOI

Zihao Qiao,

Weilong Chen, Lei Shi

и другие.

ACS Applied Polymer Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

Ionic conductor-based stretchable sensors are frequently adopted for epidermal electronics, but they sensitive to changes in the surrounding temperature and humidity, resulting unstable electrical performance. Here, we prepared a series of high-volume-content ionic liquid filled elastomers (ILE). A volume filling content 50% (ILE 50%) was obtained, significant improvement dielectric constant from 3.0 22.1 at 100 kHz, softness composite perfectly preserved, which is beneficial preparing high-performance capacitive sensors. At same time, ILE can maintain good properties under multiple large deformations (50%) as well (−20 80 °C) high humidity (66% RH 99% RH) environment, showing mechanical environmental stability. This strategy provides ideas development reliable electronics.

Язык: Английский

Процитировано

0

Behavior Identification of Silicone‐Ethanol Soft Actuator Based on Statistical Analysis DOI Open Access
Hojat Zamyad, Samaneh Sahebian, Javad Safaie

и другие.

Advanced Theory and Simulations, Год журнала: 2025, Номер unknown

Опубликована: Янв. 30, 2025

Abstract Silicone‐ethanol actuator is a new type of artificial muscle that expands and contracts based on the switching ethanol phase between liquid gas states within elastomeric matrix. However, there lack accurate ranking parameters affect its performance. This research uses cutting‐edge statistical qualitative methods to rank behavioral characteristics this actuator. In research, effect power intensity performance structural changes silicone‐ethanol investigated, for first time. It found use more intense increased response speed actuator, but also intensifies damage. Also, results show energy temperature are most crucial variables in predicting dynamic behavior while content applied important functional long term. hoped scientific approach will be leveraged distinguish real from dummy indices other newfound smart materials, where no complete knowledge their governing physical chemical equations.

Язык: Английский

Процитировано

0

Dynamic Modeling and Analysis for Dielectric Elastomer Tube Actuators DOI

Yuqing Guo,

Liang Li, Dingguo Zhang

и другие.

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 109994 - 109994

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Reversible actuation of fibrous artificial muscle under external compression load DOI Creative Commons
Xiaming Feng,

Sarah Li,

Jizhou Fan

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 12, 2025

Herein, we report hybrid fibrous artificial muscles with reversible actuation, i.e., expansion upon cooling and contraction heating, under external compression. Although many polymeric by twist insertion in precursor fibers have been developed, most of them cannot reversibly actuate without an tensile load. While heterochiral Nylon can compressive load, the stress applied is low (0.078 MPa). In this study, inserted pre-tensioned actuation into pre-compressed helical metallic spring obtained muscles. We employed two types two-way shape memory polymers, one type fishing line muscle, seven springs preparing A structural mechanics model was numerical simulation conducted to evaluate effect design parameters on strain. It found that all were free-standing (reversibly load) beyond compression load). As example, muscle actuated 24 MPa buckling. expect study will open new opportunities for use as linear actuators soft robotics or other applications need

Язык: Английский

Процитировано

0