{"title":"Statistical modeling of reliability and scaling projections for flash memories","authors":"D. Ielmini, A. Spinelli, A. Lacaita, A. Modelli","doi":"10.1109/IEDM.2001.979608","DOIUrl":null,"url":null,"abstract":"A new physically-based model for reliability analysis of flash memories is presented. The model provides a quantitative description of the distribution of the stress-induced leakage current (SILC) in large memory arrays, considering the statistics of the defects responsible for the trap-assisted tunneling (TAT) current. Simulation results are in good agreement with SILC statistics over oxide thicknesses of 6.5, 8.8 and 9.7 nm. The model can be used to quantitatively evaluate the failure rate under different conditions and assess the trade-off between oxide thinning and device reliability. The relationship between tunnel oxide scalability and defect concentration is also quantitatively assessed.","PeriodicalId":13825,"journal":{"name":"International Electron Devices Meeting. Technical Digest (Cat. No.01CH37224)","volume":"8 1","pages":"32.2.1-32.2.4"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Electron Devices Meeting. Technical Digest (Cat. No.01CH37224)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEDM.2001.979608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 44
Abstract
A new physically-based model for reliability analysis of flash memories is presented. The model provides a quantitative description of the distribution of the stress-induced leakage current (SILC) in large memory arrays, considering the statistics of the defects responsible for the trap-assisted tunneling (TAT) current. Simulation results are in good agreement with SILC statistics over oxide thicknesses of 6.5, 8.8 and 9.7 nm. The model can be used to quantitatively evaluate the failure rate under different conditions and assess the trade-off between oxide thinning and device reliability. The relationship between tunnel oxide scalability and defect concentration is also quantitatively assessed.