Hideaki Furuki, T. Fujiwara, A. Termehyousefi, Hirofumi Tanaka
{"title":"Sequential experimental strategies of longitudinal unzipping of SWNTs: Selective width of single layer graphene nanoribbon","authors":"Hideaki Furuki, T. Fujiwara, A. Termehyousefi, Hirofumi Tanaka","doi":"10.1109/RSM.2017.8069173","DOIUrl":null,"url":null,"abstract":"Single-layer graphene nanoribbon (sGNR) is a naturally good conductor and is a promising material for use as nanowiring in next generation computers. We have investigated a new fabrication method of sGNR by using a sonochemical technique to facilitate longitudinal unzipping of single-walled carbon nanotubes. The optimization of the fabrication process is discussed using a statistical analysis method of “Design of Experiment” to obtain the longest sGNR by unzipping of SWNT. The obtained results will contribute to downscaling of integrated circuits in the near future.","PeriodicalId":215909,"journal":{"name":"2017 IEEE Regional Symposium on Micro and Nanoelectronics (RSM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Regional Symposium on Micro and Nanoelectronics (RSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSM.2017.8069173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Single-layer graphene nanoribbon (sGNR) is a naturally good conductor and is a promising material for use as nanowiring in next generation computers. We have investigated a new fabrication method of sGNR by using a sonochemical technique to facilitate longitudinal unzipping of single-walled carbon nanotubes. The optimization of the fabrication process is discussed using a statistical analysis method of “Design of Experiment” to obtain the longest sGNR by unzipping of SWNT. The obtained results will contribute to downscaling of integrated circuits in the near future.