Shao Hui Wu, X. Y. Jia, Mei Kui, C. Shuai, Tien-Yu Hsieh, H. Lin, Derek Chen, Chen Bin Lin, J. Y. Wu, T. Yew, Yuta Endo, K. Kato, S. Yamazaki
{"title":"极低功耗c轴对准晶体In-Ga-Zn-O 60纳米晶体管集成工业65纳米Si MOSFET,用于物联网正常关闭CPU应用","authors":"Shao Hui Wu, X. Y. Jia, Mei Kui, C. Shuai, Tien-Yu Hsieh, H. Lin, Derek Chen, Chen Bin Lin, J. Y. Wu, T. Yew, Yuta Endo, K. Kato, S. Yamazaki","doi":"10.1109/VLSIT.2016.7573378","DOIUrl":null,"url":null,"abstract":"For the first time, laboratory 60 nm c-axis aligned crystalline In-Ga-Zn-O (CAAC-IGZO) oxide semiconductor FET (OSFET) was successfully integrated with industrial 65 nm Si MOSFET (SiFET). By this hybrid process, OSFET with extremely low off-state leakage level ~zA (1×10-21A) was fabricated, while traditional Si device can only reach 1×10-12A leakage level. For IoT (Internet of Things) applications, normally-off CPU (Noff CPU) fabricated by this hybrid process achieved 86% reduction of power consumption. The hybrid process can be extended to other applications like eDRAM, image sensor and FPGA.","PeriodicalId":129300,"journal":{"name":"2016 IEEE Symposium on VLSI Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Extremely low power c-axis aligned crystalline In-Ga-Zn-O 60 nm transistor integrated with industry 65 nm Si MOSFET for IoT normally-off CPU application\",\"authors\":\"Shao Hui Wu, X. Y. Jia, Mei Kui, C. Shuai, Tien-Yu Hsieh, H. Lin, Derek Chen, Chen Bin Lin, J. Y. Wu, T. Yew, Yuta Endo, K. Kato, S. Yamazaki\",\"doi\":\"10.1109/VLSIT.2016.7573378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the first time, laboratory 60 nm c-axis aligned crystalline In-Ga-Zn-O (CAAC-IGZO) oxide semiconductor FET (OSFET) was successfully integrated with industrial 65 nm Si MOSFET (SiFET). By this hybrid process, OSFET with extremely low off-state leakage level ~zA (1×10-21A) was fabricated, while traditional Si device can only reach 1×10-12A leakage level. For IoT (Internet of Things) applications, normally-off CPU (Noff CPU) fabricated by this hybrid process achieved 86% reduction of power consumption. The hybrid process can be extended to other applications like eDRAM, image sensor and FPGA.\",\"PeriodicalId\":129300,\"journal\":{\"name\":\"2016 IEEE Symposium on VLSI Technology\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Symposium on VLSI Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSIT.2016.7573378\",\"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 Symposium on VLSI Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIT.2016.7573378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extremely low power c-axis aligned crystalline In-Ga-Zn-O 60 nm transistor integrated with industry 65 nm Si MOSFET for IoT normally-off CPU application
For the first time, laboratory 60 nm c-axis aligned crystalline In-Ga-Zn-O (CAAC-IGZO) oxide semiconductor FET (OSFET) was successfully integrated with industrial 65 nm Si MOSFET (SiFET). By this hybrid process, OSFET with extremely low off-state leakage level ~zA (1×10-21A) was fabricated, while traditional Si device can only reach 1×10-12A leakage level. For IoT (Internet of Things) applications, normally-off CPU (Noff CPU) fabricated by this hybrid process achieved 86% reduction of power consumption. The hybrid process can be extended to other applications like eDRAM, image sensor and FPGA.