Next-Generation Hydrogel Design: Computational Advances in Synthesis, Characterization, and Biomedical Applications DOI Open Access
Muhammad Mazhar Fareed, Sergey Shityakov

Polymers, Journal Year: 2025, Volume and Issue: 17(10), P. 1373 - 1373

Published: May 16, 2025

Hydrogels are pivotal in advanced materials, driving innovations medical fields, such as targeted drug delivery, regenerative medicine, and skin repair. This systematic review explores the transformative impact of in-silico design on hydrogel development, leveraging computational tools molecular dynamics, finite element modeling, artificial intelligence to optimize synthesis, characterization, performance. We analyze cutting-edge strategies for tailoring physicochemical properties hydrogels, including their mechanical strength, biocompatibility, stimulus responsiveness, meet needs next-generation biomedical applications. By integrating machine learning modeling with experimental validation, this highlights how silico approaches accelerate material innovation, addressing challenges outlining future directions scalable, personalized solutions medicine beyond.

Language: Английский

Rationally Designed High-Temperature Polymer Dielectrics for Capacitive Energy Storage: An Experimental and Computational Alliance DOI

Pritish S. Aklujkar,

Rishi Gurnani,

Pragati Rout

et al.

Progress in Polymer Science, Journal Year: 2025, Volume and Issue: unknown, P. 101931 - 101931

Published: Feb. 1, 2025

Language: Английский

Citations

1
Advances in Soft Mechanocaloric Materials DOI Open Access
Xiujun Fan, Songyue Chen, Farid Manshaii

et al.

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

Published: March 25, 2025

Abstract The development of soft mechanocaloric materials is becoming increasingly important due to the growing demand for energy‐efficient and environmentally friendly thermoregulation solutions. Here effects in materials, which can convert mechanical energy into heat energy, discussed, their applications sensing, therapeutics, explored. It begins by introducing principles effect recent advances its study within materials’ systems. Then personalized healthcare sustainable Finally, importance identifying with high coefficients low manufacturing costs emphasized broaden applicability. Additionally, a comprehensive perspective on provided both heating cooling applications, emphasizing transformative potential various fields.

Language: Английский

Citations

0
Comparative analysis of deep learning models for predicting biocompatibility in tissue scaffold images DOI

Emir Oncu,

Kadriye Yasemin Usta Ayanoğlu,

Fatih Çiftçi

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 192, P. 110281 - 110281

Published: April 29, 2025

Language: Английский

Citations

0
Next-Generation Hydrogel Design: Computational Advances in Synthesis, Characterization, and Biomedical Applications DOI Open Access
Muhammad Mazhar Fareed, Sergey Shityakov

Polymers, Journal Year: 2025, Volume and Issue: 17(10), P. 1373 - 1373

Published: May 16, 2025

Hydrogels are pivotal in advanced materials, driving innovations medical fields, such as targeted drug delivery, regenerative medicine, and skin repair. This systematic review explores the transformative impact of in-silico design on hydrogel development, leveraging computational tools molecular dynamics, finite element modeling, artificial intelligence to optimize synthesis, characterization, performance. We analyze cutting-edge strategies for tailoring physicochemical properties hydrogels, including their mechanical strength, biocompatibility, stimulus responsiveness, meet needs next-generation biomedical applications. By integrating machine learning modeling with experimental validation, this highlights how silico approaches accelerate material innovation, addressing challenges outlining future directions scalable, personalized solutions medicine beyond.

Language: Английский

Citations

0