{"title":"Computational and AI-Driven Design of Hydrogels for Bioelectronic Applications","authors":"Rebekah Finster, Prashant Sankaran, Eloise Bihar","doi":"10.1002/aelm.202400763","DOIUrl":null,"url":null,"abstract":"As hydrogel research progresses, hydrogels are becoming essential tools in bioelectronics and biotechnology. This review explores the diverse range of natural and synthetic gel materials tailored for specific bioelectronic applications, with a focus on their integration with electronic components to create responsive, multifunctional systems. The role of Artificial Intelligence (AI) in advancing gel design and functionality from optimizing material properties to enabling precise, predictive modeling is investigated. Furthermore, recent innovations that harness the synergy between hydrogels, electronics, and AI are discussed, emphasizing the potential of these materials to drive future advances in biomedical technologies. AI-driven approaches are transforming the development of hydrogels for applications in wound healing, biosensing, drug delivery, and tissue engineering.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"49 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Electronic Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/aelm.202400763","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
As hydrogel research progresses, hydrogels are becoming essential tools in bioelectronics and biotechnology. This review explores the diverse range of natural and synthetic gel materials tailored for specific bioelectronic applications, with a focus on their integration with electronic components to create responsive, multifunctional systems. The role of Artificial Intelligence (AI) in advancing gel design and functionality from optimizing material properties to enabling precise, predictive modeling is investigated. Furthermore, recent innovations that harness the synergy between hydrogels, electronics, and AI are discussed, emphasizing the potential of these materials to drive future advances in biomedical technologies. AI-driven approaches are transforming the development of hydrogels for applications in wound healing, biosensing, drug delivery, and tissue engineering.
期刊介绍：
Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.
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