Results 241 to 250 of about 120,440 (291)
Fluctuation analysis of work function of organic semiconductors
We demonstrate, for the first time, work function fluctuations of a polyaniline film when used as the gate conductor of an insulated-gate field-effect transistor. The work function fluctuations induce drain current fluctuations, which are in excess of the channel noise of the transistor and the Nyquist noise of the polyaniline film.
Ryan M. West +3 more
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Random-work-function-induced characteristic fluctuation in 16-nm-gate bulk and SOI FinFETs
International Journal of Nanotechnology, 2014In this paper, we, for the first time, study the metal gate's work-function-fluctuation-induced variability in the 16-nm-gate bulk and silicon on insulator (SOI) fin-type field effect transistor (FinFET) devices using an experimentally calibrated 3D device simulation. According to metal's property, random nanosized grains of titanium nitride (TiN) gate
Yiming Li +2 more
exaly +4 more sources
Fluctuation Sensitivity Map: A Novel Technique to Characterise and Predict Device Behaviour Under Metal Grain Work-Function Variability Effects [PDF]
A new technique developed for the analysis of intrinsic sources of variability affecting the performance of semiconductor devices is presented. It is based on the creation of a fluctuation sensitivity map (FSM), which supplies spatial information about the source of variability affecting the device performance and reliability, providing useful advice ...
Guillermo Indalecio +3 more
core +4 more sources
2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), 2019
We advance the localized work-function fluctuation (LWKF) method to examine the variability of threshold voltage $(\mathrm{V}_{\mathrm{t}\mathrm{h}})$ induced by titanium nitride (TiN) metal-gate work-function fluctuation (WKF) and combined the WKF with the random dopant fluctuation (RDF) for various grain sizes on Si gate-all-around (GAA) nanowire (NW)
Wen-Li Sung +2 more
exaly +2 more sources
We advance the localized work-function fluctuation (LWKF) method to examine the variability of threshold voltage $(\mathrm{V}_{\mathrm{t}\mathrm{h}})$ induced by titanium nitride (TiN) metal-gate work-function fluctuation (WKF) and combined the WKF with the random dopant fluctuation (RDF) for various grain sizes on Si gate-all-around (GAA) nanowire (NW)
Wen-Li Sung +2 more
exaly +2 more sources
2015 IEEE International Electron Devices Meeting (IEDM), 2015
In this work, process variation effect (PVE), work function fluctuation (WKF), and random dopant fluctuation (RDF) on 10-nm high-K/metal gate gate-all-around silicon nanowire MOSFET devices using full-quantum-mechanically validated and experimentally calibrated device simulation are studied.
Yiming Li, Chieh-Yang Chen
exaly +2 more sources
In this work, process variation effect (PVE), work function fluctuation (WKF), and random dopant fluctuation (RDF) on 10-nm high-K/metal gate gate-all-around silicon nanowire MOSFET devices using full-quantum-mechanically validated and experimentally calibrated device simulation are studied.
Yiming Li, Chieh-Yang Chen
exaly +2 more sources
Proceedings of Technical Program - 2014 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA), 2014
Fluctuation in drain induced barrier lowering (DIBL) has been investigated in detail for FinFETs with regard to work function variation (WFV) in the metal gates (MGs). The FinFETs with a polycrystalline TiN MG exhibit significantly larger fluctuation in DIBL than that for an amorphous TaSiN MG because of the WFV.
Shinji Migita
exaly +2 more sources
Fluctuation in drain induced barrier lowering (DIBL) has been investigated in detail for FinFETs with regard to work function variation (WFV) in the metal gates (MGs). The FinFETs with a polycrystalline TiN MG exhibit significantly larger fluctuation in DIBL than that for an amorphous TaSiN MG because of the WFV.
Shinji Migita
exaly +2 more sources
A New Modeling Approach for the Probability Density Distribution Function of Wind power Fluctuation
With the rapid development of grid-connected wind power, analysing and describing the probability density distribution characteristics of wind power fluctuation has always been a hot and difficult problem in the wind power field.
Fucai Qian, Wang Lingzhi
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Work-Function Fluctuation Impact on the SET Response of FinFET-based Majority Voters
2020 IEEE Latin-American Test Symposium (LATS), 2020The evolution of integrated circuits, alongside the technology scaling, has made them more susceptible to the radiation effects, as well presenting an increasing manufacturing process variability. These challenges can lead to circuits operating outside their specification ranges. Majority voters are adopted by most of the redundancy-based methodologies
Leonardo Heitich Brendler +3 more
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Impact of Work Function Fluctuations on Threshold Voltage Variability in a Nanoscale FinFETs
2016 IEEE International Symposium on Nanoelectronic and Information Systems (iNIS), 2016In todays advanced nanoscale regime, use of metal gate stacks have a different impact on the intrinsic parameter variability. The metal gates have a natural granular structure, where work function of each grain depends upon its orientation. Circuit and device designing are limited by the threshold voltage variability.
Rituraj Singh Rathore +2 more
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Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures Processing, Measurement, and Phenomena, 2001
The relation between the work function and current fluctuation was investigated for various kinds of emitters: element metals, transition metal nitrides, and diamonds. Since these deposited emitters have no good standard, it is difficult to distinguish the effect of work function and the other physical parameters such as apex radius.
Gotoh, Y, Tsuji, H, Ishikawa, J
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The relation between the work function and current fluctuation was investigated for various kinds of emitters: element metals, transition metal nitrides, and diamonds. Since these deposited emitters have no good standard, it is difficult to distinguish the effect of work function and the other physical parameters such as apex radius.
Gotoh, Y, Tsuji, H, Ishikawa, J
openaire +1 more source

