{"title":"三维NAND闪存长期数据保留特性的物理模型","authors":"Rashmi Saikia, Aseer Ansari, Souvik Mahapatra","doi":"10.1109/IRPS48203.2023.10118096","DOIUrl":null,"url":null,"abstract":"Charge loss mechanisms during Data retention (DR) in GAA 3D NAND devices, Inter-cell charge loss of electrons in the Charge Trap Layer (CTL), and In-cell charge loss of electrons from tunnel oxide are modeled and analyzed using a physics-based Activated Barrier Double Well Thermionic Emission (ABDWT) model. The measured data retention characteristics for Solid Pattern (SP), of various distribution, sigma $(\\sigma)$ of the lower tail of the Cell Voltage Distribution (CVD) has been studied and modeled for various temperatures and programming levels (PL). Checkered pattern (CP) measured long-term data retention characteristics at various temperatures and program levels are modeled for both the loss components. 10 years projection is extrapolated across temperature and programing levels.","PeriodicalId":159030,"journal":{"name":"2023 IEEE International Reliability Physics Symposium (IRPS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Physics-based Model for Long Term Data Retention Characteristics in 3D NAND Flash Memory\",\"authors\":\"Rashmi Saikia, Aseer Ansari, Souvik Mahapatra\",\"doi\":\"10.1109/IRPS48203.2023.10118096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Charge loss mechanisms during Data retention (DR) in GAA 3D NAND devices, Inter-cell charge loss of electrons in the Charge Trap Layer (CTL), and In-cell charge loss of electrons from tunnel oxide are modeled and analyzed using a physics-based Activated Barrier Double Well Thermionic Emission (ABDWT) model. The measured data retention characteristics for Solid Pattern (SP), of various distribution, sigma $(\\\\sigma)$ of the lower tail of the Cell Voltage Distribution (CVD) has been studied and modeled for various temperatures and programming levels (PL). Checkered pattern (CP) measured long-term data retention characteristics at various temperatures and program levels are modeled for both the loss components. 10 years projection is extrapolated across temperature and programing levels.\",\"PeriodicalId\":159030,\"journal\":{\"name\":\"2023 IEEE International Reliability Physics Symposium (IRPS)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Reliability Physics Symposium (IRPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRPS48203.2023.10118096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Reliability Physics Symposium (IRPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRPS48203.2023.10118096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
利用基于物理的激活势垒双阱热离子发射(ABDWT)模型,对GAA 3D NAND器件中数据保留(DR)过程中的电荷损失机制、电荷阱层(CTL)中电子的胞间电荷损失以及隧道氧化物中电子的胞内电荷损失进行了建模和分析。在不同温度和编程水平(PL)下,研究了不同分布的固态模式(SP)、电池电压分布(CVD)下尾的sigma $(\sigma)$的测量数据保留特性,并建立了模型。方格模式(CP)测量的长期数据保留特性在不同的温度和程序水平的损失组件建模。10年的预测是根据温度和编程水平推断出来的。
A Physics-based Model for Long Term Data Retention Characteristics in 3D NAND Flash Memory
Charge loss mechanisms during Data retention (DR) in GAA 3D NAND devices, Inter-cell charge loss of electrons in the Charge Trap Layer (CTL), and In-cell charge loss of electrons from tunnel oxide are modeled and analyzed using a physics-based Activated Barrier Double Well Thermionic Emission (ABDWT) model. The measured data retention characteristics for Solid Pattern (SP), of various distribution, sigma $(\sigma)$ of the lower tail of the Cell Voltage Distribution (CVD) has been studied and modeled for various temperatures and programming levels (PL). Checkered pattern (CP) measured long-term data retention characteristics at various temperatures and program levels are modeled for both the loss components. 10 years projection is extrapolated across temperature and programing levels.