M. Pešić, V. Di Lecce, M. Hoffmann, H. Mulaosmanovic, B. Max, U. Schroeder, S. Slesazeck, L. Larcher, T. Mikolajick
{"title":"基于HfO2的铁电存储器和器件的物理和电路建模","authors":"M. Pešić, V. Di Lecce, M. Hoffmann, H. Mulaosmanovic, B. Max, U. Schroeder, S. Slesazeck, L. Larcher, T. Mikolajick","doi":"10.1109/S3S.2017.8308732","DOIUrl":null,"url":null,"abstract":"The discovery of ferroelectric properties in polycrystalline HfO2 has revived the interest in ferroelectric (FE) memories, which shows scaling feasibility allowing targeting high-density storage applications. In order to provide engineering guidelines for FE memory devices it is crucial to establish a correlation between the electrical device performances and the underlying physical mechanisms. In this work, we will discuss physical and circuit modeling approaches for FE memories connecting the FE HfO2 materials properties to the electrical performances of memory cells, artificial synapse for neuromorphic and in memory computing applications.","PeriodicalId":333587,"journal":{"name":"2017 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Physical and circuit modeling of HfO2 based ferroelectric memories and devices\",\"authors\":\"M. Pešić, V. Di Lecce, M. Hoffmann, H. Mulaosmanovic, B. Max, U. Schroeder, S. Slesazeck, L. Larcher, T. Mikolajick\",\"doi\":\"10.1109/S3S.2017.8308732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The discovery of ferroelectric properties in polycrystalline HfO2 has revived the interest in ferroelectric (FE) memories, which shows scaling feasibility allowing targeting high-density storage applications. In order to provide engineering guidelines for FE memory devices it is crucial to establish a correlation between the electrical device performances and the underlying physical mechanisms. In this work, we will discuss physical and circuit modeling approaches for FE memories connecting the FE HfO2 materials properties to the electrical performances of memory cells, artificial synapse for neuromorphic and in memory computing applications.\",\"PeriodicalId\":333587,\"journal\":{\"name\":\"2017 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/S3S.2017.8308732\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/S3S.2017.8308732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Physical and circuit modeling of HfO2 based ferroelectric memories and devices
The discovery of ferroelectric properties in polycrystalline HfO2 has revived the interest in ferroelectric (FE) memories, which shows scaling feasibility allowing targeting high-density storage applications. In order to provide engineering guidelines for FE memory devices it is crucial to establish a correlation between the electrical device performances and the underlying physical mechanisms. In this work, we will discuss physical and circuit modeling approaches for FE memories connecting the FE HfO2 materials properties to the electrical performances of memory cells, artificial synapse for neuromorphic and in memory computing applications.