Qiuyao Yu , Guangming Zhang , Yu Lei , Xinyu Yang , Houpeng Chen , Qian Wang , Zhitang Song
{"title":"3D PCM 中的阈下读取操作:1S1R 器件建模和存储器阵列分析","authors":"Qiuyao Yu , Guangming Zhang , Yu Lei , Xinyu Yang , Houpeng Chen , Qian Wang , Zhitang Song","doi":"10.1016/j.mee.2024.112211","DOIUrl":null,"url":null,"abstract":"<div><p>3-D phase change memory (PCM) is one of the most promising next-generation nonvolatile memory, and the subthreshold sensing strategy can effectively improve its limited endurance. In this study, we propose a one-selector-one-resistor (1S1R) model with Monte Carlo (MC) function and provide array configurations for the worst case and the maximum bit line voltage (<em>V</em><sub><em>BL-max</em></sub>), respectively. Based on these, the read window margin (RWM) is evaluated with various array sizes, OTS threshold voltage variations (<span><math><msub><mi>σ</mi><mi>var</mi></msub></math></span>), and bias voltages (<em>V</em><sub><em>Bias</em></sub>). Our results reveal that the RWM increases as the <em>V</em><sub><em>BL</em></sub> approaches the <em>V</em><sub><em>BL-</em>max</sub>. Larger arrays lead to an increased leakage current difference, while larger <span><math><msub><mi>σ</mi><mi>var</mi></msub></math></span> values result in decreased cell current difference and <em>V</em><sub><em>BL-</em>max</sub>. The decrease in <em>V</em><sub><em>BL-max</em></sub> further deteriorates the RWM. Additionally, we analyze the optimal <em>V</em><sub><em>Bias</em></sub> for 2-deck arrays achieves a 7% reduction in leakage energy consumption and a 22.6% increase in RWM compared to the V/2 bias. The optimal <em>V</em><sub><em>Bias</em></sub> depends on OTS devices and array sizes.</p></div>","PeriodicalId":18557,"journal":{"name":"Microelectronic Engineering","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Subthreshold read operations in 3D PCM: 1S1R device modeling and memory array analysis\",\"authors\":\"Qiuyao Yu , Guangming Zhang , Yu Lei , Xinyu Yang , Houpeng Chen , Qian Wang , Zhitang Song\",\"doi\":\"10.1016/j.mee.2024.112211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>3-D phase change memory (PCM) is one of the most promising next-generation nonvolatile memory, and the subthreshold sensing strategy can effectively improve its limited endurance. In this study, we propose a one-selector-one-resistor (1S1R) model with Monte Carlo (MC) function and provide array configurations for the worst case and the maximum bit line voltage (<em>V</em><sub><em>BL-max</em></sub>), respectively. Based on these, the read window margin (RWM) is evaluated with various array sizes, OTS threshold voltage variations (<span><math><msub><mi>σ</mi><mi>var</mi></msub></math></span>), and bias voltages (<em>V</em><sub><em>Bias</em></sub>). Our results reveal that the RWM increases as the <em>V</em><sub><em>BL</em></sub> approaches the <em>V</em><sub><em>BL-</em>max</sub>. Larger arrays lead to an increased leakage current difference, while larger <span><math><msub><mi>σ</mi><mi>var</mi></msub></math></span> values result in decreased cell current difference and <em>V</em><sub><em>BL-</em>max</sub>. The decrease in <em>V</em><sub><em>BL-max</em></sub> further deteriorates the RWM. Additionally, we analyze the optimal <em>V</em><sub><em>Bias</em></sub> for 2-deck arrays achieves a 7% reduction in leakage energy consumption and a 22.6% increase in RWM compared to the V/2 bias. The optimal <em>V</em><sub><em>Bias</em></sub> depends on OTS devices and array sizes.</p></div>\",\"PeriodicalId\":18557,\"journal\":{\"name\":\"Microelectronic Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microelectronic Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167931724000807\",\"RegionNum\":4,\"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":"Microelectronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167931724000807","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Subthreshold read operations in 3D PCM: 1S1R device modeling and memory array analysis
3-D phase change memory (PCM) is one of the most promising next-generation nonvolatile memory, and the subthreshold sensing strategy can effectively improve its limited endurance. In this study, we propose a one-selector-one-resistor (1S1R) model with Monte Carlo (MC) function and provide array configurations for the worst case and the maximum bit line voltage (VBL-max), respectively. Based on these, the read window margin (RWM) is evaluated with various array sizes, OTS threshold voltage variations (), and bias voltages (VBias). Our results reveal that the RWM increases as the VBL approaches the VBL-max. Larger arrays lead to an increased leakage current difference, while larger values result in decreased cell current difference and VBL-max. The decrease in VBL-max further deteriorates the RWM. Additionally, we analyze the optimal VBias for 2-deck arrays achieves a 7% reduction in leakage energy consumption and a 22.6% increase in RWM compared to the V/2 bias. The optimal VBias depends on OTS devices and array sizes.
期刊介绍:
Microelectronic Engineering is the premier nanoprocessing, and nanotechnology journal focusing on fabrication of electronic, photonic, bioelectronic, electromechanic and fluidic devices and systems, and their applications in the broad areas of electronics, photonics, energy, life sciences, and environment. It covers also the expanding interdisciplinary field of "more than Moore" and "beyond Moore" integrated nanoelectronics / photonics and micro-/nano-/bio-systems. Through its unique mixture of peer-reviewed articles, reviews, accelerated publications, short and Technical notes, and the latest research news on key developments, Microelectronic Engineering provides comprehensive coverage of this exciting, interdisciplinary and dynamic new field for researchers in academia and professionals in industry.