Advances in Smart Chromogenic Hydrogel Composites for Next‐Generation Digital Applications DOI

Hana Afshar,

Farimah Kamran,

Farangis Shahi

et al.

Polymers for Advanced Technologies, Journal Year: 2025, Volume and Issue: 36(4)

Published: April 1, 2025

ABSTRACT The rapid advancement of digital technologies has heightened the demand for multifunctional smart materials with adaptive and responsive capabilities. Among these, chromogenic hydrogel composites have emerged as promising candidates next‐generation applications due to their unique stimuli‐responsive behavior. These hydrogels exhibit dynamic optical changes in response external triggers such light, temperature, pH, humidity, mechanical stress, electric or magnetic fields, enabling a wide range functionalities data storage, security, authentication, anti‐counterfeiting technologies. This review provides comprehensive examination composites, focusing on fundamental design principles, mechanisms, emerging systems. categorizes these based response, including photochromic, hydrochromic, electrochromic, magnetochromic, thermochromic, tribochromic, mechanochromic systems, analyzing key material compositions functional characteristics. Furthermore, recent advances fabrication techniques 3D 4D printing, self‐healing networks, multi‐stimuli‐responsive are discussed, highlighting potential programmable displays, rewritable encrypted security Finally, identifies current challenges future directions field, emphasizing need enhanced durability, faster times, improved integration insights presented this work aim guide development innovative interactive intelligent materials.

Language: Английский

Additive manufacturing for biomedical bone implants: Shaping the future of bones DOI Creative Commons

Muhammad Hassan Razzaq,

Usama Zaheer, Humayun Asghar

et al.

Materials Science and Engineering R Reports, Journal Year: 2025, Volume and Issue: 163, P. 100931 - 100931

Published: Jan. 30, 2025

Language: Английский

Citations

0
Plant Polyphenol‐Based Injectable Hydrogels: Advances and Biomedical Applications DOI Open Access

Renkai Zhang,

Qiuyue Ma,

Nannan Zheng

et al.

Advanced Healthcare Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Plant polyphenol-based hydrogels, known for their biocompatibility and adhesive properties, have emerged as promising materials in biomedical applications. These hydrogels leverage the catechol group's ability to form stable bonds moist environments, similar mussel proteins. This review provides a comprehensive overview of synthesis, adhesion mechanisms, applications, particularly wound healing, tissue regeneration, drug delivery. However, challenges related vivo stability long-term remain critical barriers clinical translation. Future research should focus on enhancing bioactivity, biocompatibility, scalability these while addressing concerns toxicity, immune responses, large-scale manufacturing. Advances artificial intelligence-assisted screening 3D/4D bioprinting are expected accelerate development Furthermore, integration biomimetic designs responsive functionalities, such pH or temperature sensitivity, holds promise further improving therapeutic efficacy. In conclusion, multifunctional plant represents frontier advancing personalized medicine minimally invasive treatments.

Language: Английский

Citations

0
The Role of Artificial Intelligence in Microstructural Characterization of Ferrous Materials: A Review of Tools, Findings, and Research Challenges DOI Creative Commons
Naveed Anjum,

Suma,

M. Rakesh

et al.

Journal of Mines Metals and Fuels, Journal Year: 2025, Volume and Issue: unknown, P. 759 - 769

Published: March 27, 2025

The microstructure of ferrous materials is complex, influenced by factors like composition, consistency, processing methods, and section size. Artificial Intelligence (AI) becoming a key tool in characterization, improving the analysis optimization material properties. This review examines AI applications science, focusing on methods Machine Learning (ML), Deep (DL), Neural Networks (ANN), Generative Adversarial (GAN) to analyze microstructures. These techniques show promise advancing study but encounters difficulties data quality model interpretability, integration with traditional methods. paper highlights recent findings discusses future directions for overcoming these limitations. While has great potential transform further advancements algorithms, collection, collaboration are needed fully realize its benefits. Major Findings: demonstrates that (ML) particularly CNNs ANNs, can effectively identify predict complex microstructural phases steel, such as pearlite, ferrite, martensite. GANs offer novel approach segmenting images high accuracy, even without labeled data, enhancing predictive capabilities behavior.

Language: Английский

Citations

0
Advances in Smart Chromogenic Hydrogel Composites for Next‐Generation Digital Applications DOI

Hana Afshar,

Farimah Kamran,

Farangis Shahi

et al.

Polymers for Advanced Technologies, Journal Year: 2025, Volume and Issue: 36(4)

Published: April 1, 2025

ABSTRACT The rapid advancement of digital technologies has heightened the demand for multifunctional smart materials with adaptive and responsive capabilities. Among these, chromogenic hydrogel composites have emerged as promising candidates next‐generation applications due to their unique stimuli‐responsive behavior. These hydrogels exhibit dynamic optical changes in response external triggers such light, temperature, pH, humidity, mechanical stress, electric or magnetic fields, enabling a wide range functionalities data storage, security, authentication, anti‐counterfeiting technologies. This review provides comprehensive examination composites, focusing on fundamental design principles, mechanisms, emerging systems. categorizes these based response, including photochromic, hydrochromic, electrochromic, magnetochromic, thermochromic, tribochromic, mechanochromic systems, analyzing key material compositions functional characteristics. Furthermore, recent advances fabrication techniques 3D 4D printing, self‐healing networks, multi‐stimuli‐responsive are discussed, highlighting potential programmable displays, rewritable encrypted security Finally, identifies current challenges future directions field, emphasizing need enhanced durability, faster times, improved integration insights presented this work aim guide development innovative interactive intelligent materials.

Language: Английский

Citations

0