P. Ren, R. Gao, Z. Ji, H. Arimura, J. F. Zhang, R. Wang, M. Duan, W. Zhang, J. Franco, S. Sioncke, D. Cott, J. Mitard, L. Witters, H. Mertens, B. Kaczer, A. Mocuta, N. Collaert, D. Linten, R. Huang, A. Thean, G. Groeseneken
{"title":"Understanding charge traps for optimizing Si-passivated Ge nMOSFETs","authors":"P. Ren, R. Gao, Z. Ji, H. Arimura, J. F. Zhang, R. Wang, M. Duan, W. Zhang, J. Franco, S. Sioncke, D. Cott, J. Mitard, L. Witters, H. Mertens, B. Kaczer, A. Mocuta, N. Collaert, D. Linten, R. Huang, A. Thean, G. Groeseneken","doi":"10.1109/VLSIT.2016.7573367","DOIUrl":null,"url":null,"abstract":"For the first time, two different types of electron traps are clearly identified in Ge nFETs with Type-A controlled by the HfO2 layer thickness and Type-B by the Si growth induced Ge segregation. Only Type-B are responsible for mobility degradation and they do not saturate with stress time, while the opposite applies to Type A. A PBTI model is proposed and validated for the long term prediction.","PeriodicalId":129300,"journal":{"name":"2016 IEEE Symposium on VLSI Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium on VLSI Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIT.2016.7573367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
For the first time, two different types of electron traps are clearly identified in Ge nFETs with Type-A controlled by the HfO2 layer thickness and Type-B by the Si growth induced Ge segregation. Only Type-B are responsible for mobility degradation and they do not saturate with stress time, while the opposite applies to Type A. A PBTI model is proposed and validated for the long term prediction.