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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vladimirescu, A. Anghel, C. Amara, A. Gupta, N. Makosiej, A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Lab. d'Electron. des Technol. de l'Inf., Commissariat a l'Energie Atomique et aux Energies Alternatives, Grenoble, France (Makosiej, A.) || Inst. Super. d'Electron. de Paris ISEP, Paris, France (Vladimirescu, A.; Anghel, C.; Amara, A.; Gupta, N.) |
| Abstract | This paper describes the applicability of Tunnel FETs (TFET) to ultra-low-power sensor-node embedded Static Random-Access Memories (SRAM). Numerical TCAD device simulations were used first to characterize and optimize the performance of the TFET. The optimized TFETs show a steeper subthreshold slope than CMOS leading to a 5 orders of magnitude reduction in standby current. A look-up table model for circuit simulation of the TFET was developed based on characteristics obtained from TCAD simulations. A TFET SRAM cell is proposed and its performance is analyzed. Our novel 8T TFET SRAM cell operates at $V_{dd}=1V$ or lower. The Read and Write Static Noise Margins (SNM) are evaluated at 120mV and 200mV, with the operation speed of 3.8GHz and 800MHz $V_{dd}=1V$ in read and write, respectively. The cell leakage is less than 5fA at $V_{dd}=1V.$ A sensor node architecture for implementation in a hybrid CMOS/TFET process with a large memory is proposed where the memory consumes as little as 2 fW/cell or 48 pW for a 4 kB array. |
| Starting Page | 266 |
| Ending Page | 270 |
| File Size | 1314176 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479989812 |
| DOI | 10.1109/IWASI.2015.7184974 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-18 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy-Delay Microprocessors Random access memory TFET Logic gates Capacitance CMOS integrated circuits Arrays Sensor Node Architecture SRAM Signal-to-Noise Margin (SNM) |
| Content Type | Text |
| Resource Type | Article |
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