R. Degraeve, A. Fantini, G. Gorine, P. Roussel, S. Clima, C. Y. Chen, B. Govoreanu, L. Goux, D. Linten, M. Jurczak, A. Thean
{"title":"细丝RRAM程序后不稳定性的定量模型","authors":"R. Degraeve, A. Fantini, G. Gorine, P. Roussel, S. Clima, C. Y. Chen, B. Govoreanu, L. Goux, D. Linten, M. Jurczak, A. Thean","doi":"10.1109/IRPS.2016.7574567","DOIUrl":null,"url":null,"abstract":"This paper discusses and models the program instability observed in filamentary Hf-based RRAM devices in the context of the Hourglass model. It is demonstrated that two variability sources can be distinguished: (i) number variations of the amount of vacancies in the filament constriction and (ii) constriction shape variations. The shape variations are not stable in time and show a log(time)-dependent relaxation behavior after each programming pulse. This makes program/verify schemes, aiming at widening the resistive window, highly ineffective. We develop a quantitative, mathematical description of the instability using an auto-correlated step process of the shape parameters of the QPC conduction model.","PeriodicalId":172129,"journal":{"name":"2016 IEEE International Reliability Physics Symposium (IRPS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Quantitative model for post-program instabilities in filamentary RRAM\",\"authors\":\"R. Degraeve, A. Fantini, G. Gorine, P. Roussel, S. Clima, C. Y. Chen, B. Govoreanu, L. Goux, D. Linten, M. Jurczak, A. Thean\",\"doi\":\"10.1109/IRPS.2016.7574567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses and models the program instability observed in filamentary Hf-based RRAM devices in the context of the Hourglass model. It is demonstrated that two variability sources can be distinguished: (i) number variations of the amount of vacancies in the filament constriction and (ii) constriction shape variations. The shape variations are not stable in time and show a log(time)-dependent relaxation behavior after each programming pulse. This makes program/verify schemes, aiming at widening the resistive window, highly ineffective. We develop a quantitative, mathematical description of the instability using an auto-correlated step process of the shape parameters of the QPC conduction model.\",\"PeriodicalId\":172129,\"journal\":{\"name\":\"2016 IEEE International Reliability Physics Symposium (IRPS)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Reliability Physics Symposium (IRPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRPS.2016.7574567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Reliability Physics Symposium (IRPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRPS.2016.7574567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantitative model for post-program instabilities in filamentary RRAM
This paper discusses and models the program instability observed in filamentary Hf-based RRAM devices in the context of the Hourglass model. It is demonstrated that two variability sources can be distinguished: (i) number variations of the amount of vacancies in the filament constriction and (ii) constriction shape variations. The shape variations are not stable in time and show a log(time)-dependent relaxation behavior after each programming pulse. This makes program/verify schemes, aiming at widening the resistive window, highly ineffective. We develop a quantitative, mathematical description of the instability using an auto-correlated step process of the shape parameters of the QPC conduction model.