Jianyu Chen, Yizhou Wang, Zhengnan Tian, Jin Zhao, Yanwen Ma, Husam N. Alshareef
Aqueous zinc (Zn) ion batteries (AZIBs) are regarded as one of the promising candidates for next-generation electrochemical energy storage systems due to their low cost, high safety, and environmental friendliness. However, the commercialization of AZIBs has been severely restricted by the growth of dendrite at the Zn metal anode. Tailoring the planar-structured Zn anodes into three-dimensional (3D) structures has proven to be an effective way to modulate the plating/stripping behavior of Zn anodes, resulting in the suppression of dendrite formation. This review provides an up-to-date review of 3D structured Zn metal anodes, including working principles, design, current status, and future prospects. We aim to give the readers a comprehensive understanding of 3D-structured Zn anodes and their effective usage to enhance AZIB performance.
{"title":"Recent developments in three-dimensional Zn metal anodes for battery applications","authors":"Jianyu Chen, Yizhou Wang, Zhengnan Tian, Jin Zhao, Yanwen Ma, Husam N. Alshareef","doi":"10.1002/inf2.12485","DOIUrl":"10.1002/inf2.12485","url":null,"abstract":"<p>Aqueous zinc (Zn) ion batteries (AZIBs) are regarded as one of the promising candidates for next-generation electrochemical energy storage systems due to their low cost, high safety, and environmental friendliness. However, the commercialization of AZIBs has been severely restricted by the growth of dendrite at the Zn metal anode. Tailoring the planar-structured Zn anodes into three-dimensional (3D) structures has proven to be an effective way to modulate the plating/stripping behavior of Zn anodes, resulting in the suppression of dendrite formation. This review provides an up-to-date review of 3D structured Zn metal anodes, including working principles, design, current status, and future prospects. We aim to give the readers a comprehensive understanding of 3D-structured Zn anodes and their effective usage to enhance AZIB performance.</p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":null,"pages":null},"PeriodicalIF":22.7,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.12485","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138540053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanxi Li, Jiayang Hu, Anzhe Chen, Yishu Zhang, Chenhao Wang, Beiduo Wang, Yi Tong, Jiachao Zhou, Kian Ping Loh, Yang Xu, Tawfique Hasan, Bin Yu
The cover image focuses on neuronal circuit motif with specialized excitatory–inhibitory connectivity pattern. The neuronal circuit is an advanced functional unit of the brain beyond neurons and synapses. Neurons do not function in isolation and are linked to ensembles or circuit motifs that process specific types of information, enables multidimensional signal processing in the information flow of the brain. The authors demonstrate a core processor that can be employed to construct commonly used neuronal circuits and further perform bio-realistic neuromorphic computing. Exploring the working principle, physical configuration, scalable design, and extensive signal-processing capabilities of core processing neuron is crucial for advancing hardware development for brain-inspired integrated neuromorphic systems.