{"title":"同时考虑六个工艺变化因素的 GAA Si NS CFET 的电气特性和功率波动","authors":"Sekhar Reddy Kola;Yiming Li","doi":"10.1109/OJNANO.2023.3335942","DOIUrl":null,"url":null,"abstract":"Characteristic variability induced by process variation effect (PVE) is one of technological challenges in semiconductor industry. In this work, we computationally study electrical characteristic and power fluctuations induced by six factors of PVE of the gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field-effect-transistors (CFETs) which are formed by vertically stacking \n<italic>n</i>\n-FET on top of \n<italic>p</i>\n-FET. Among the six factors, NS thickness (\n<italic>T<sub>NS</sub></i>\n), NS width (\n<italic>W<sub>NS</sub></i>\n), and gate length (\n<italic>L<sub>G</sub></i>\n) are identified as crucial factors contributing to large variations in device characteristics. The \n<italic>p</i>\n-FET exhibits substantial off-state current fluctuation (about 151%) due to the bottom parasitic channel leakages. Compared with the magnitudes of dynamic and short circuit powers, the static power is marginal, but it possesses the largest fluctuation (up to 148%). If we assume that each factor of PVE has the same probability distribution as the others and all are mutually independent, the statistical sum of their power fluctuations will exhibit more than 50% overestimations, compared with the results when all factors are considered simultaneously.","PeriodicalId":446,"journal":{"name":"IEEE Open Journal of Nanotechnology","volume":"4 ","pages":"229-238"},"PeriodicalIF":1.8000,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10330087","citationCount":"0","resultStr":"{\"title\":\"Electrical Characteristic and Power Fluctuations of GAA Si NS CFETs by Simultaneously Considering Six Process Variation Factors\",\"authors\":\"Sekhar Reddy Kola;Yiming Li\",\"doi\":\"10.1109/OJNANO.2023.3335942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Characteristic variability induced by process variation effect (PVE) is one of technological challenges in semiconductor industry. In this work, we computationally study electrical characteristic and power fluctuations induced by six factors of PVE of the gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field-effect-transistors (CFETs) which are formed by vertically stacking \\n<italic>n</i>\\n-FET on top of \\n<italic>p</i>\\n-FET. Among the six factors, NS thickness (\\n<italic>T<sub>NS</sub></i>\\n), NS width (\\n<italic>W<sub>NS</sub></i>\\n), and gate length (\\n<italic>L<sub>G</sub></i>\\n) are identified as crucial factors contributing to large variations in device characteristics. The \\n<italic>p</i>\\n-FET exhibits substantial off-state current fluctuation (about 151%) due to the bottom parasitic channel leakages. Compared with the magnitudes of dynamic and short circuit powers, the static power is marginal, but it possesses the largest fluctuation (up to 148%). If we assume that each factor of PVE has the same probability distribution as the others and all are mutually independent, the statistical sum of their power fluctuations will exhibit more than 50% overestimations, compared with the results when all factors are considered simultaneously.\",\"PeriodicalId\":446,\"journal\":{\"name\":\"IEEE Open Journal of Nanotechnology\",\"volume\":\"4 \",\"pages\":\"229-238\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10330087\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of Nanotechnology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10330087/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Nanotechnology","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10330087/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
工艺变异效应(PVE)引起的特性变化是半导体行业面临的技术挑战之一。在这项工作中,我们通过计算研究了在 p 型场效应晶体管上垂直堆叠 n 型场效应晶体管而形成的全栅极(GAA)硅(Si)纳米片(NS)互补场效应晶体管(CFET)的六个 PVE 因素引起的电气特性和功率波动。在这六个因素中,NS 厚度 (TNS)、NS 宽度 (WNS) 和栅极长度 (LG) 被认为是导致器件特性发生巨大变化的关键因素。由于底部寄生沟道泄漏,p-场效应晶体管表现出很大的关态电流波动(约 151%)。与动态功率和短路功率的大小相比,静态功率微不足道,但波动却最大(高达 148%)。如果我们假设 PVE 的每个因素与其他因素具有相同的概率分布,并且所有因素都相互独立,那么与同时考虑所有因素时的结果相比,其功率波动的统计总和将高估 50%以上。
Electrical Characteristic and Power Fluctuations of GAA Si NS CFETs by Simultaneously Considering Six Process Variation Factors
Characteristic variability induced by process variation effect (PVE) is one of technological challenges in semiconductor industry. In this work, we computationally study electrical characteristic and power fluctuations induced by six factors of PVE of the gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field-effect-transistors (CFETs) which are formed by vertically stacking
n
-FET on top of
p
-FET. Among the six factors, NS thickness (
TNS
), NS width (
WNS
), and gate length (
LG
) are identified as crucial factors contributing to large variations in device characteristics. The
p
-FET exhibits substantial off-state current fluctuation (about 151%) due to the bottom parasitic channel leakages. Compared with the magnitudes of dynamic and short circuit powers, the static power is marginal, but it possesses the largest fluctuation (up to 148%). If we assume that each factor of PVE has the same probability distribution as the others and all are mutually independent, the statistical sum of their power fluctuations will exhibit more than 50% overestimations, compared with the results when all factors are considered simultaneously.