Dielectric response, nonlinear electrical characteristics, and gradient defect distribution of (In3+, Nb5+) co-doped Bi2/3Cu3Ti4O12 ceramics DOI
Longhai Yang, Kai Li,

Wenjie Gao

et al.

Ceramics International, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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

Deying Leng

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 156687 - 156687

Published: Oct. 1, 2024

Language: Английский

Citations

22

Large deformation, high energy density dielectric elastomer actuators: Principles, factors, optimization, applications, and prospects DOI
Liang Yang, Hong Wang,

Dongsheng Zhang

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 489, P. 151402 - 151402

Published: April 17, 2024

Language: Английский

Citations

20

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

Acta Biomaterialia, Journal Year: 2024, Volume and Issue: 185, P. 24 - 40

Published: July 23, 2024

Language: Английский

Citations

16

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

Yanning Yang

et al.

Carbohydrate Polymers, Journal Year: 2024, Volume and Issue: 347, P. 122738 - 122738

Published: Sept. 13, 2024

Language: Английский

Citations

16

Highly flexible, large-deformation ionic polymer metal composites for artificial muscles: Fabrication, properties, applications, and prospects DOI
Hong Wang, Liang Yang,

Yanning Yang

et al.

Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 469, P. 143976 - 143976

Published: June 9, 2023

Language: Английский

Citations

41

Research progress on energy storage performance enhancement strategies for polyvinylidene fluoride-based composites DOI
Liang Yang, Hong Wang,

Shipeng Fang

et al.

Journal of Alloys and Compounds, Journal Year: 2023, Volume and Issue: 960, P. 170831 - 170831

Published: June 2, 2023

Language: Английский

Citations

31

Applications of injectable hemostatic materials in wound healing: principles, strategies, performance requirements, and future perspectives DOI Creative Commons
Hong Wang, Liang Yang

Theranostics, Journal Year: 2023, Volume and Issue: 13(13), P. 4615 - 4635

Published: Jan. 1, 2023

Uncontrolled traumatic bleeding can lead to death due excessive blood loss within minutes.Early intervention is crucial save lives, making timely and effective hemostasis a major global challenge.Injectable hemostatic materials (IHMs) have been proposed improve the effectiveness of hemostasis, facilitate wound healing, enhance survival rates in emergency situations.The superior performance IHMs has garnered significant attention.However, there are relatively few comprehensive reviews on IHMs.This paper aims provide review latest research progress recent years.Firstly, physiological process underlying principles analyzed.Subsequently, synthesis strategies for different discussed.The requirements then summarized, including high efficiency, biocompatibility, degradability, manipulability, stability antibacterial ability.Finally, development prospects challenges presented.This serves as necessary systematic summary IHMs, providing valuable reference new high-performance their practical clinical applications.

Language: Английский

Citations

23

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

Hengyu Cao,

Liang Yang

et al.

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 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.

Language: Английский

Citations

13

Optimizing sintering conditions and microstructure for enhanced dielectric and humidity sensing properties of Na1/3Ca1/3Tb1/3Cu3Ti4O12 ceramics DOI

Sirion Srilarueang,

Kaniknun Sreejivungsa,

Noppakorn Thanamoon

et al.

Materials Chemistry and Physics, Journal Year: 2024, Volume and Issue: 318, P. 129320 - 129320

Published: April 10, 2024

Language: Английский

Citations

12

Advanced humidity sensing properties of CuO ceramics DOI Creative Commons

Kaniknun Sreejivungsa,

Noppakorn Thanamoon,

Nutthakritta Phromviyo

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 27, 2024

Abstract This research explores the capacitive humidity sensing properties of CuO ceramic, selected for its simplicity as an oxide and ease fabrication, in addition to remarkable dielectric properties. The sample was fabricated by sintering at 980 °C 5 h. A microstructure with a relative density 88.9% obtained. X-ray diffraction confirmed formation pure phase. Broadband spectroscopy revealed that observed giant room temperature (RT) were attributed extrinsic effects, including internal barrier layer capacitor sample-electrode contact effects. key focus this study examine ceramic function (RH) RT frequencies 10 2 3 Hz. It capacitance continuously increased rising RH levels, ranging from 30 95%. Notably, maximum hysteresis errors constrained 2.3 3.3% Hz, respectively. Additionally, demonstrated very fast response recovery times, approximately 2.8 0.95 min, repeatability also established. Overall, highlights high potential material application sensors.

Language: Английский

Citations

9