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Item type:Item, Statistical Analysis of Metal Gate Workfunction Variability, Process Variation, and Random Dopant Fluctuation in Nano-CMOS Circuits(2009) ;Hwang, Chih-Hong ;Li, Tien-Yeh ;Han, Ming-Hung ;Lee, Kuo-FuCheng, Hui-WenThis work for the first time estimates the influences of the intrinsic parameter fluctuations consisting of metal gate workfunction fluctuation (WKF), process variation effect (PVE) and random dopant fluctuation (RDF) on 16-nm-gate planar metal-oxide-semiconductor field effect transistors (MOSFETs) and circuits. The WKF and RDF dominate the threshold voltage fluctuation; however, the WKF brings less impact on the gate capacitance due to the screening effect of the inversion layer. The fluctuation of timing characteristics depends on the threshold voltage fluctuation, and therefore is proportional to the trend of threshold voltage fluctuation. For an amplifier circuit, the high-frequency characteristics, the circuit gain, the 3dB bandwidth, the unity-gain bandwidth power, and the power-added efficiency, are explored consequently. Similar to the trend of the cutoff frequency, the PVE and RDF dominate both the device and circuits characteristic fluctuations due to the significant gate capacitance fluctuations and the WKF is less important at this simulation scenario. The extensive study assesses the fluctuations on circuit performance and reliability, which can in turn be used to optimize nanoscale MOSFET and circuits.Item type:Item, Discrete-Dopant-Induced Timing Fluctuation and Suppression in Nanoscale CMOS Circuit(2009-05-01) ;Li, Yiming ;Hwang, Chih-Hong ;Li, Tien-Yeh ;電信工程研究所Institute of Communications EngineeringAs the dimensions of semiconductor devices continue to be reduced, device fluctuations have become critical to determining the accuracy of timing in circuits and systems. This brief studies the discrete-dopant-induced timing characteristic fluctuations in 16-nm-gate complementary metal-oxide-semiconductor (CMOS) circuits using a 3-D "atomistic" coupled device-circuit simulation. The accuracy of the simulation has been confirmed by using the experimentally calibrated transistor physical model. For a 1.6-nm-gate CMOS inverter, 3.5%, 2.4%, 18.3%, and 13.2% normalized fluctuations in the rise time, fall time, high-to-low delay time, and low-to-high delay time, respectively, are found. Random dopants may cause significant timing fluctuations in the studied circuits. Suppression approaches that are based on the circuit and device design viewpoints are implemented to examine the associated characteristic fluctuations. The use of shunted transistors in the circuit provides similar suppression to the use of a device with doubled width. However, both approaches increase the chip area. To eliminate the need to increase the chip area, channel engineering approaches (vertical and lateral) are proposed, and their effectiveness in reducing the timing fluctuation is demonstrated.Item type:Item, Random-Dopant-Induced Variability in Nano-CMOS Devices and Digital Circuits(2009-08-01) ;Li, Yiming ;Hwang, Chih-Hong ;Li, Tien-Yeh ;電信工程研究所Institute of Communications EngineeringThe impact of the number and position of discrete dopants on device characteristics is crucial in determining the transient behavior of nanoscale circuits. An experimentally validated coupled device-circuit simulation was conducted to investigate the discrete-dopant-induced timing-characteristic fluctuations in 16-nm-gate CMOS circuits. The random-doping effect may induce 18.9% gate-capacitance fluctuation, affecting the intrinsic device gate delay and circuit timing. For a 16-nm-gate CMOS inverter, 0.036-, 0.021-, 0.105-, and 0.108-ps fluctuations in rise time, fall time, low-to-high delay time, and high-to-low delay time are found. The timing fluctuations of NAND and NOR circuits are increased, as the number of transistors increased. Because of the same number of transistors in circuits, the timing fluctuation of NAND and NOR are expected to be similar. However, due to the different function and device operation status of circuit, the timing fluctuation is quite different. The function-and circuit-topology-dependent characteristic fluctuations caused by random nature of discrete dopants are found. This paper provides an insight into random-dopant-induced intrinsic timing fluctuations, which can, in turn, be used to optimize nanoscale CMOS field-effect-transistor circuits.Item type:Item, Process-Variation Effect, Metal-Gate Work-Function Fluctuation, and Random-Dopant Fluctuation in Emerging CMOS Technologies(2010-02-01) ;Li, Yiming ;Hwang, Chih-Hong ;Li, Tien-Yeh ;Han, Ming-Hung傳播研究所This paper, for the first time, estimates the influences of the intrinsic-parameter fluctuations consisting of metal-gate work-function fluctuation (WKF), process-variation effect (PVE), and random-dopant fluctuation (RDF) on 16-nm-gate planar metal-oxide-semiconductor field-effect transistors (MOSFETs) and circuits. The WKF and RDF dominate the threshold-voltage fluctuation (sigma V(th)); however, the WKF brings less impact on the gate capacitance and the cutoff frequency due to the screening effect of the inversion layer. The fluctuation of timing characteristics depends on the sigma V(th) and is therefore proportional to the trend of sigma V(th). The power fluctuation consisting of the dynamic, short-circuit, and static powers is further investigated. The total power fluctuation for the planar MOSFET circuits is 15.2%, which is substantial in the reliability of circuits and systems. The static power is a minor part of the total power; however, its fluctuation is significant because of the serious fluctuation of the leakage current. For an amplifier circuit, the high-frequency characteristics, the circuit gain, the 3-dB bandwidth, the unity-gain bandwidth power, and the power-added efficiency are explored consequently. Similar to the trend of the cutoff frequency, the PVE and RDF dominate both the device and circuit characteristic fluctuations due to the significant gate-capacitance fluctuations, and the WKF is less important at this simulation scenario. The extensive study assesses the fluctuations on circuit performance and reliability, which can, in turn, be used to optimize nanoscale MOSFETs and circuits.Item type:Item, Comprehensive Examination of Threshold Voltage Fluctuations in Nanoscale Planar MOSFET and Bulk FinFET Devices(2008) ;Hwang, Chih-Hong ;Cheng, Hui-Wen ;Yeh, Ta-Ching ;Li, Tien-YehHuang, Hsuan-MingIntrinsic fluctuations on device characteristics, such as the threshold voltage (V(th)) fluctuation is crucial in determining the behavior of nanoscale semiconductor devices. In this paper, the dependency of process-variation and random-dopant-induced Vth fluctuation on the gate oxide thickness scaling in 16 nm metal-oxide-semiconductor field effect transistors (MOSFETs) is investigated. Fluctuations of the threshold voltage for the studied planar MOSFETs with equivalent oxide thicknesses (EOT) from 1.2 nm to 0.2 nm (e.g., SiO(2) for the 1.2 and 0.8 nm EOTs, Al(2)O(3) for the 0.4 nm EOT and HfO(2) for the 0.2 nm EOT) are then for the first time compared with the results of 16nm bulk fin-typed filed effect transistors (FinFETs), which is one of the promising candidates for next generation semiconductor devices. An experimentally validated simulation is conducted to investigate the fluctuation property. Result of this study confirms the suppression of Vth fluctuations with the gate oxide thickness scaling (using high-kappa dielectric). It's found that the immunity of the planar MOSFET against fluctuation suffers from nature of structural limitations. Bulk FinFETs alleviate the challenges of device's scaling and have potential in the nanoelectronics application.