{"title":"Artificial Intelligence Assisted Nanogenerator Applications","authors":"Shumao Xu, Farid Manshaii, Xiao Xiao, Jun Chen","doi":"10.1039/d4ta07127a","DOIUrl":null,"url":null,"abstract":"Piezoelectric and triboelectric nanogenerators are at the forefront of converting ambient mechanical energy into electricity. They have experienced a significant leap in functionality and autonomy through integration with artificial intelligence (AI). This integration not only boosts nanogenerator performance for autonomous operations by improving mechanical-to-electrical energy conversion efficiency but also forges new pathways in robotics and intelligent systems. It enhances the responsiveness and adaptability of these devices. Looking ahead, combining nanogenerators with AI is set to play a crucial role in promoting sustainable and eco-friendly energy solutions. Their dual contribution to advancing the capabilities of intelligent systems and promoting environmental sustainability marks a significant advancement in the use of nanogenerators in robotics. This review underscores the essential role of AI in refining nanogenerators, highlighting a path toward achieving energy autonomy and sustainability.","PeriodicalId":82,"journal":{"name":"Journal of Materials Chemistry A","volume":"20 1","pages":""},"PeriodicalIF":10.7000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Chemistry A","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1039/d4ta07127a","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Piezoelectric and triboelectric nanogenerators are at the forefront of converting ambient mechanical energy into electricity. They have experienced a significant leap in functionality and autonomy through integration with artificial intelligence (AI). This integration not only boosts nanogenerator performance for autonomous operations by improving mechanical-to-electrical energy conversion efficiency but also forges new pathways in robotics and intelligent systems. It enhances the responsiveness and adaptability of these devices. Looking ahead, combining nanogenerators with AI is set to play a crucial role in promoting sustainable and eco-friendly energy solutions. Their dual contribution to advancing the capabilities of intelligent systems and promoting environmental sustainability marks a significant advancement in the use of nanogenerators in robotics. This review underscores the essential role of AI in refining nanogenerators, highlighting a path toward achieving energy autonomy and sustainability.
期刊介绍：
The Journal of Materials Chemistry A, B & C covers a wide range of high-quality studies in the field of materials chemistry, with each section focusing on specific applications of the materials studied. Journal of Materials Chemistry A emphasizes applications in energy and sustainability, including topics such as artificial photosynthesis, batteries, and fuel cells. Journal of Materials Chemistry B focuses on applications in biology and medicine, while Journal of Materials Chemistry C covers applications in optical, magnetic, and electronic devices. Example topic areas within the scope of Journal of Materials Chemistry A include catalysis, green/sustainable materials, sensors, and water treatment, among others.
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