B. Linder, A. Dasgupta, T. Ando, E. Cartier, U. Kwon, R. Southwick, M. Wang, S. Krishnan, M. Hopstaken, M. Bajaj, R. Pandey, W. Chang, T. Yamashita, O. Gluschenkov, V. Narayanan, J. Stathis, S. Ray, J. Liu
{"title":"Process optimizations for NBTI/PBTI for future replacement metal gate technologies","authors":"B. Linder, A. Dasgupta, T. Ando, E. Cartier, U. Kwon, R. Southwick, M. Wang, S. Krishnan, M. Hopstaken, M. Bajaj, R. Pandey, W. Chang, T. Yamashita, O. Gluschenkov, V. Narayanan, J. Stathis, S. Ray, J. Liu","doi":"10.1109/IRPS.2016.7574532","DOIUrl":null,"url":null,"abstract":"Bias Temperature Instability (BTI) is a tremendous reliability concern for deeply scaled CMOS technologies, and is the limiting mechanism for further inversion layer thickness (Tinv) scaling for future nodes [1]. Replacement Metal Gate technologies are of particular concern, since the gate stack is not exposed to the high temperature source/drain anneals. We have identified four strategies for reducing BTI in Replacement metal gate technologies: Rapid Thermal Anneal (RTA) optimization, optimization of the HfO2 layer thickness, introducing a gate dielectric dopant for NBTI reduction, and effective Work Function tuning. Judiciously combining these four techniques enable further Tinv scaling for 10 nm and below.","PeriodicalId":172129,"journal":{"name":"2016 IEEE International Reliability Physics Symposium (IRPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Reliability Physics Symposium (IRPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRPS.2016.7574532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Bias Temperature Instability (BTI) is a tremendous reliability concern for deeply scaled CMOS technologies, and is the limiting mechanism for further inversion layer thickness (Tinv) scaling for future nodes [1]. Replacement Metal Gate technologies are of particular concern, since the gate stack is not exposed to the high temperature source/drain anneals. We have identified four strategies for reducing BTI in Replacement metal gate technologies: Rapid Thermal Anneal (RTA) optimization, optimization of the HfO2 layer thickness, introducing a gate dielectric dopant for NBTI reduction, and effective Work Function tuning. Judiciously combining these four techniques enable further Tinv scaling for 10 nm and below.