{"title":"用于检查和预测闪存中数据保留和程序干扰的统计模拟","authors":"L. Larcher, P. Pavan","doi":"10.1109/IEDM.2003.1269201","DOIUrl":null,"url":null,"abstract":"A new statistical model of stress-induced leakage current (SILC) is implemented and used to predict data retention and program disturbs of state-of-the-art flash memories, and to correlate oxide characterization outputs (density, cross section, energy level of defects) to flash memory reliability. Physical mechanisms inducing the largest threshold voltage (V/sub T/) degradation are explained, and tunnel oxide scaling effects on flash reliability are predicted.","PeriodicalId":344286,"journal":{"name":"IEEE International Electron Devices Meeting 2003","volume":"481 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Statistical simulations to inspect and predict data retention and program disturbs in flash memories\",\"authors\":\"L. Larcher, P. Pavan\",\"doi\":\"10.1109/IEDM.2003.1269201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new statistical model of stress-induced leakage current (SILC) is implemented and used to predict data retention and program disturbs of state-of-the-art flash memories, and to correlate oxide characterization outputs (density, cross section, energy level of defects) to flash memory reliability. Physical mechanisms inducing the largest threshold voltage (V/sub T/) degradation are explained, and tunnel oxide scaling effects on flash reliability are predicted.\",\"PeriodicalId\":344286,\"journal\":{\"name\":\"IEEE International Electron Devices Meeting 2003\",\"volume\":\"481 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Electron Devices Meeting 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEDM.2003.1269201\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Electron Devices Meeting 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEDM.2003.1269201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical simulations to inspect and predict data retention and program disturbs in flash memories
A new statistical model of stress-induced leakage current (SILC) is implemented and used to predict data retention and program disturbs of state-of-the-art flash memories, and to correlate oxide characterization outputs (density, cross section, energy level of defects) to flash memory reliability. Physical mechanisms inducing the largest threshold voltage (V/sub T/) degradation are explained, and tunnel oxide scaling effects on flash reliability are predicted.
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