S. Perrin;K. Alkema;V. Della Marca;T. Kempf;O. Paulet;M. Arteaga;M. Akbal;B. Arrazat;J. Metz;J. M. Moragues;A. Regnier;M. Bocquet;J. M. Portal
{"title":"专用4kb试验车充电存储记忆退化预测方法","authors":"S. Perrin;K. Alkema;V. Della Marca;T. Kempf;O. Paulet;M. Arteaga;M. Akbal;B. Arrazat;J. Metz;J. M. Moragues;A. Regnier;M. Bocquet;J. M. Portal","doi":"10.1109/TDMR.2025.3572856","DOIUrl":null,"url":null,"abstract":"This study investigates the variability in HCI (Hot Carrier Injection) degradation within a 4 kb charge storage memory array, manufactured on a dedicated wafer split process. A standard set of experiments is conducted to extract electrical features of the cells before and after stress. A statistical analysis method, based on the Principal Component Analysis (PCA) approach, is introduced to enhance the comprehension of the cell degradation prior to reliability testing. Additionally, a graphical model is developed to identify extrinsic cells in the memory array prior to stress, as well as to assess the overall technology yield. Finally, others classifier models are explored aiming to improve extrinsic cells detection before running the reliability test.","PeriodicalId":448,"journal":{"name":"IEEE Transactions on Device and Materials Reliability","volume":"25 3","pages":"371-378"},"PeriodicalIF":2.3000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive Method of Charge Storage Memory Degradation on a Dedicated 4kb Test Vehicle\",\"authors\":\"S. Perrin;K. Alkema;V. Della Marca;T. Kempf;O. Paulet;M. Arteaga;M. Akbal;B. Arrazat;J. Metz;J. M. Moragues;A. Regnier;M. Bocquet;J. M. Portal\",\"doi\":\"10.1109/TDMR.2025.3572856\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates the variability in HCI (Hot Carrier Injection) degradation within a 4 kb charge storage memory array, manufactured on a dedicated wafer split process. A standard set of experiments is conducted to extract electrical features of the cells before and after stress. A statistical analysis method, based on the Principal Component Analysis (PCA) approach, is introduced to enhance the comprehension of the cell degradation prior to reliability testing. Additionally, a graphical model is developed to identify extrinsic cells in the memory array prior to stress, as well as to assess the overall technology yield. Finally, others classifier models are explored aiming to improve extrinsic cells detection before running the reliability test.\",\"PeriodicalId\":448,\"journal\":{\"name\":\"IEEE Transactions on Device and Materials Reliability\",\"volume\":\"25 3\",\"pages\":\"371-378\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Device and Materials Reliability\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11010095/\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Device and Materials Reliability","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11010095/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Predictive Method of Charge Storage Memory Degradation on a Dedicated 4kb Test Vehicle
This study investigates the variability in HCI (Hot Carrier Injection) degradation within a 4 kb charge storage memory array, manufactured on a dedicated wafer split process. A standard set of experiments is conducted to extract electrical features of the cells before and after stress. A statistical analysis method, based on the Principal Component Analysis (PCA) approach, is introduced to enhance the comprehension of the cell degradation prior to reliability testing. Additionally, a graphical model is developed to identify extrinsic cells in the memory array prior to stress, as well as to assess the overall technology yield. Finally, others classifier models are explored aiming to improve extrinsic cells detection before running the reliability test.
期刊介绍:
The scope of the publication includes, but is not limited to Reliability of: Devices, Materials, Processes, Interfaces, Integrated Microsystems (including MEMS & Sensors), Transistors, Technology (CMOS, BiCMOS, etc.), Integrated Circuits (IC, SSI, MSI, LSI, ULSI, ELSI, etc.), Thin Film Transistor Applications. The measurement and understanding of the reliability of such entities at each phase, from the concept stage through research and development and into manufacturing scale-up, provides the overall database on the reliability of the devices, materials, processes, package and other necessities for the successful introduction of a product to market. This reliability database is the foundation for a quality product, which meets customer expectation. A product so developed has high reliability. High quality will be achieved because product weaknesses will have been found (root cause analysis) and designed out of the final product. This process of ever increasing reliability and quality will result in a superior product. In the end, reliability and quality are not one thing; but in a sense everything, which can be or has to be done to guarantee that the product successfully performs in the field under customer conditions. Our goal is to capture these advances. An additional objective is to focus cross fertilized communication in the state of the art of reliability of electronic materials and devices and provide fundamental understanding of basic phenomena that affect reliability. In addition, the publication is a forum for interdisciplinary studies on reliability. An overall goal is to provide leading edge/state of the art information, which is critically relevant to the creation of reliable products.